DevStat - July 23

1 General

Number of records: 4565

Number of all NA: 20 (REMOVED FROM NOW ON)

Number of Other gender: 3 (REMOVED FROM NOW ON)

Number of participants have not received any support: NA (REMOVED FROM NOW ON)

Number of Not Valid answers: 0 (REMOVED FROM NOW ON)

Number of answers: 4536

1.1 Nationality

Nationality n %
Ghana 980 21,6%
Iraq 800 17,6%
Pakistan 573 12,6%
Nigeria 454 10,0%
Kosovo 415 9,1%
Servia 414 9,1%
Gambia 400 8,8%
Albania 360 7,9%
Tanzania 140 3,1%
Total 4.536 100,0%

1.2 Gender

Gender n %
Male 2.689 59,3%
Female 1.847 40,7%
Total 4.536 100,0%

1.3 Age Groups

1.3.1 By Gender

Female
Male
Total
Age n % n % n %
18-25 361 44,7% 447 55,3% 808 100,0%
26-35 763 41,0% 1097 59,0% 1860 100,0%
36-45 481 39,0% 753 61,0% 1234 100,0%
older than 45 242 38,2% 392 61,8% 634 100,0%

1.3.2 By Question

Female
Male
Total
Age n % n % n %
18-25 361 19,5% 447 16,6% 808 17,8%
26-35 763 41,3% 1097 40,8% 1860 41,0%
36-45 481 26,0% 753 28,0% 1234 27,2%
older than 45 242 13,1% 392 14,6% 634 14,0%
Total 1847 100,0% 2689 100,0% 4536 100,0%

1.4 Migration Status

1.4.1 By Gender

Female
Male
Total
Migration n % n % n %
Local Population 1308 55,5% 1048 44,5% 2356 100,0%
Migrants from GER 312 26,9% 846 73,1% 1158 100,0%
Migrants from third countries 227 22,2% 795 77,8% 1022 100,0%

1.4.2 By Question

Female
Male
Total
Migration n % n % n %
Local Population 1308 70,8% 1048 39,0% 2356 51,9%
Migrants from GER 312 16,9% 846 31,5% 1158 25,5%
Migrants from third countries 227 12,3% 795 29,6% 1022 22,5%
Total 1847 100,0% 2689 100,0% 4536 100,0%

1.5 Country returness returned from

Female
Male
Total
CountryReturn n % n % n %
Afghanistan – – 2 100,0% 2 100,0%
Algeria 1 7,7% 12 92,3% 13 100,0%
Angola 1 100,0% – – 1 100,0%
Argentina 1 100,0% – – 1 100,0%
Armenia 1 100,0% – – 1 100,0%
Austria 6 11,3% 47 88,7% 53 100,0%
Azerbaijan 1 100,0% – – 1 100,0%
Bahrain – – 5 100,0% 5 100,0%
Bangladesh – – 1 100,0% 1 100,0%
Belarus – – 11 100,0% 11 100,0%
Belgium 7 28,0% 18 72,0% 25 100,0%
Bosnia and Herzegovina – – 2 100,0% 2 100,0%
Bulgaria – – 6 100,0% 6 100,0%
China – – 4 100,0% 4 100,0%
Cote d’Ivoire 1 50,0% 1 50,0% 2 100,0%
Croatia 3 100,0% – – 3 100,0%
Cyprus 3 37,5% 5 62,5% 8 100,0%
Czechia 2 100,0% – – 2 100,0%
Denmark – – 3 100,0% 3 100,0%
Egypt, Arab Rep.  2 66,7% 1 33,3% 3 100,0%
Finland 8 15,4% 44 84,6% 52 100,0%
France 13 28,9% 32 71,1% 45 100,0%
French Polynesia 1 50,0% 1 50,0% 2 100,0%
Germany 312 26,9% 846 73,1% 1158 100,0%
Ghana 2 66,7% 1 33,3% 3 100,0%
Greece 43 31,6% 93 68,4% 136 100,0%
Guinea-Bissau – – 1 100,0% 1 100,0%
Hungary 1 33,3% 2 66,7% 3 100,0%
India 1 50,0% 1 50,0% 2 100,0%
Iran, Islamic Rep.  – – 2 100,0% 2 100,0%
Iraq 3 100,0% – – 3 100,0%
Ireland – – 1 100,0% 1 100,0%
Italy 3 17,6% 14 82,4% 17 100,0%
Jordan 4 100,0% – – 4 100,0%
Korea, Dem. People’s Rep.  – – 1 100,0% 1 100,0%
Korea, Rep.  – – 1 100,0% 1 100,0%
Kuwait 7 77,8% 2 22,2% 9 100,0%
Lebanon 18 100,0% – – 18 100,0%
Liberia – – 2 100,0% 2 100,0%
Libya 39 46,4% 45 53,6% 84 100,0%
Lithuania – – 2 100,0% 2 100,0%
Luxembourg 1 33,3% 2 66,7% 3 100,0%
Malaysia 1 6,2% 15 93,8% 16 100,0%
Mali 1 14,3% 6 85,7% 7 100,0%
Malta – – 1 100,0% 1 100,0%
Mauritania – – 10 100,0% 10 100,0%
Montenegro – – 1 100,0% 1 100,0%
Morocco – – 4 100,0% 4 100,0%
Netherlands 3 18,8% 13 81,2% 16 100,0%
Niger – – 1 100,0% 1 100,0%
Nigeria – – 1 100,0% 1 100,0%
Norway 2 20,0% 8 80,0% 10 100,0%
Oman – – 13 100,0% 13 100,0%
Philippines – – 1 100,0% 1 100,0%
Poland 1 50,0% 1 50,0% 2 100,0%
Qatar – – 11 100,0% 11 100,0%
Romania – – 4 100,0% 4 100,0%
Russian Federation 1 33,3% 2 66,7% 3 100,0%
Saudi Arabia 6 4,1% 140 95,9% 146 100,0%
Senegal – – 8 100,0% 8 100,0%
Serbia – – 2 100,0% 2 100,0%
Slovenia – – 1 100,0% 1 100,0%
South Africa 3 42,9% 4 57,1% 7 100,0%
Spain 1 50,0% 1 50,0% 2 100,0%
Sweden 9 20,0% 36 80,0% 45 100,0%
Switzerland 6 33,3% 12 66,7% 18 100,0%
Turkiye 17 32,1% 36 67,9% 53 100,0%
United Arab Emirates 1 1,1% 91 98,9% 92 100,0%
United Kingdom 2 33,3% 4 66,7% 6 100,0%
United States – – 3 100,0% 3 100,0%

1.6 Date of return

Female
Male
Total
YearReturn n % n % n %
1.991 1 100,0% – – 1 100,0%
1.996 1 100,0% – – 1 100,0%
1.997 1 50,0% 1 50,0% 2 100,0%
1.998 – – 2 100,0% 2 100,0%
1.999 2 50,0% 2 50,0% 4 100,0%
2.000 5 50,0% 5 50,0% 10 100,0%
2.001 5 35,7% 9 64,3% 14 100,0%
2.002 1 33,3% 2 66,7% 3 100,0%
2.003 2 40,0% 3 60,0% 5 100,0%
2.004 – – 4 100,0% 4 100,0%
2.005 1 33,3% 2 66,7% 3 100,0%
2.006 1 100,0% – – 1 100,0%
2.007 – – 6 100,0% 6 100,0%
2.008 1 20,0% 4 80,0% 5 100,0%
2.009 2 28,6% 5 71,4% 7 100,0%
2.010 3 20,0% 12 80,0% 15 100,0%
2.011 4 36,4% 7 63,6% 11 100,0%
2.012 6 30,0% 14 70,0% 20 100,0%
2.013 10 27,8% 26 72,2% 36 100,0%
2.014 5 16,7% 25 83,3% 30 100,0%
2.015 38 34,9% 71 65,1% 109 100,0%
2.016 47 29,7% 111 70,3% 158 100,0%
2.017 69 30,3% 159 69,7% 228 100,0%
2.018 77 24,2% 241 75,8% 318 100,0%
2.019 72 21,1% 270 78,9% 342 100,0%
2.020 49 19,9% 197 80,1% 246 100,0%
2.021 61 20,4% 238 79,6% 299 100,0%
2.022 60 22,5% 207 77,5% 267 100,0%
2.023 15 45,5% 18 54,5% 33 100,0%

1.7 Organisation supporting the beneficiaries

1.7.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Advisory Center 734 51,1% 701 48,9% 1435 100,0% 127 33,4% 253 66,6% 380 100,0% 75 16,8% 371 83,2% 446 100,0% 936 41,4% 1325 58,6% 2261 100,0%
Advisory Center & CSO 117 53,7% 101 46,3% 218 100,0% 98 20,2% 387 79,8% 485 100,0% 90 21,0% 338 79,0% 428 100,0% 305 27,0% 826 73,0% 1131 100,0%
Advisory Center & CSO & Other 4 40,0% 6 60,0% 10 100,0% 9 32,1% 19 67,9% 28 100,0% 1 100,0% – – 1 100,0% 14 35,9% 25 64,1% 39 100,0%
Advisory Center & Other 16 72,7% 6 27,3% 22 100,0% 7 29,2% 17 70,8% 24 100,0% 1 33,3% 2 66,7% 3 100,0% 24 49,0% 25 51,0% 49 100,0%
CSO 433 65,5% 228 34,5% 661 100,0% 67 29,0% 164 71,0% 231 100,0% 58 41,1% 83 58,9% 141 100,0% 558 54,0% 475 46,0% 1033 100,0%
CSO & Other – – 1 100,0% 1 100,0% 2 50,0% 2 50,0% 4 100,0% 1 100,0% – – 1 100,0% 3 50,0% 3 50,0% 6 100,0%
Other 4 44,4% 5 55,6% 9 100,0% 2 33,3% 4 66,7% 6 100,0% 1 50,0% 1 50,0% 2 100,0% 7 41,2% 10 58,8% 17 100,0%

1.7.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Advisory Center 734 56,1% 701 66,9% 1435 60,9% 127 40,7% 253 29,9% 380 32,8% 75 33,0% 371 46,7% 446 43,6% 936 50,7% 1325 49,3% 2261 49,8%
Advisory Center & CSO 117 8,9% 101 9,6% 218 9,3% 98 31,4% 387 45,7% 485 41,9% 90 39,6% 338 42,5% 428 41,9% 305 16,5% 826 30,7% 1131 24,9%
Advisory Center & CSO & Other 4 0,3% 6 0,6% 10 0,4% 9 2,9% 19 2,2% 28 2,4% 1 0,4% – – 1 0,1% 14 0,8% 25 0,9% 39 0,9%
Advisory Center & Other 16 1,2% 6 0,6% 22 0,9% 7 2,2% 17 2,0% 24 2,1% 1 0,4% 2 0,3% 3 0,3% 24 1,3% 25 0,9% 49 1,1%
CSO 433 33,1% 228 21,8% 661 28,1% 67 21,5% 164 19,4% 231 19,9% 58 25,6% 83 10,4% 141 13,8% 558 30,2% 475 17,7% 1033 22,8%
CSO & Other – – 1 0,1% 1 0,0% 2 0,6% 2 0,2% 4 0,3% 1 0,4% – – 1 0,1% 3 0,2% 3 0,1% 6 0,1%
Other 4 0,3% 5 0,5% 9 0,4% 2 0,6% 4 0,5% 6 0,5% 1 0,4% 1 0,1% 2 0,2% 7 0,4% 10 0,4% 17 0,4%

2 Services received

2.1 Services received

2.1.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_guidance 839 52,2% 769 47,8% 1608 100,0% 119 28,6% 297 71,4% 416 100,0% 107 18,1% 485 81,9% 592 100,0% 1065 40,7% 1551 59,3% 2616 100,0%
F2_stskills 838 54,2% 709 45,8% 1547 100,0% 127 26,8% 346 73,2% 473 100,0% 113 20,6% 435 79,4% 548 100,0% 1078 42,0% 1490 58,0% 2568 100,0%
F2_ltskills 458 58,7% 322 41,3% 780 100,0% 63 32,3% 132 67,7% 195 100,0% 48 32,0% 102 68,0% 150 100,0% 569 50,6% 556 49,4% 1125 100,0%
F2_counseling 480 48,0% 521 52,0% 1001 100,0% 183 25,1% 547 74,9% 730 100,0% 151 18,0% 688 82,0% 839 100,0% 814 31,7% 1756 68,3% 2570 100,0%
F2_coaching 322 58,8% 226 41,2% 548 100,0% 45 29,8% 106 70,2% 151 100,0% 52 56,5% 40 43,5% 92 100,0% 419 53,0% 372 47,0% 791 100,0%
F2_startup 843 57,2% 631 42,8% 1474 100,0% 170 22,4% 588 77,6% 758 100,0% 159 20,5% 618 79,5% 777 100,0% 1172 38,9% 1837 61,1% 3009 100,0%
F2_reintegration 123 33,3% 246 66,7% 369 100,0% 185 24,8% 560 75,2% 745 100,0% 143 17,7% 663 82,3% 806 100,0% 451 23,5% 1469 76,5% 1920 100,0%
F2_pss 147 63,9% 83 36,1% 230 100,0% 122 35,3% 224 64,7% 346 100,0% 80 48,8% 84 51,2% 164 100,0% 349 47,2% 391 52,8% 740 100,0%
F2_other 509 59,7% 344 40,3% 853 100,0% 273 31,3% 598 68,7% 871 100,0% 109 29,2% 264 70,8% 373 100,0% 891 42,5% 1206 57,5% 2097 100,0%

2.1.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_guidance 839 64,1% 769 73,4% 1608 68,3% 119 38,1% 297 35,1% 416 35,9% 107 47,1% 485 61,0% 592 57,9% 1065 57,7% 1551 57,7% 2616 57,7%
F2_stskills 838 64,1% 709 67,7% 1547 65,7% 127 40,7% 346 40,9% 473 40,8% 113 49,8% 435 54,7% 548 53,6% 1078 58,4% 1490 55,4% 2568 56,6%
F2_ltskills 458 35,0% 322 30,7% 780 33,1% 63 20,2% 132 15,6% 195 16,8% 48 21,1% 102 12,8% 150 14,7% 569 30,8% 556 20,7% 1125 24,8%
F2_counseling 480 36,7% 521 49,7% 1001 42,5% 183 58,7% 547 64,7% 730 63,0% 151 66,5% 688 86,5% 839 82,1% 814 44,1% 1756 65,3% 2570 56,7%
F2_coaching 322 24,6% 226 21,6% 548 23,3% 45 14,4% 106 12,5% 151 13,0% 52 22,9% 40 5,0% 92 9,0% 419 22,7% 372 13,8% 791 17,4%
F2_startup 843 64,4% 631 60,2% 1474 62,6% 170 54,5% 588 69,5% 758 65,5% 159 70,0% 618 77,7% 777 76,0% 1172 63,5% 1837 68,3% 3009 66,3%
F2_reintegration 123 9,4% 246 23,5% 369 15,7% 185 59,3% 560 66,2% 745 64,3% 143 63,0% 663 83,4% 806 78,9% 451 24,4% 1469 54,6% 1920 42,3%
F2_pss 147 11,2% 83 7,9% 230 9,8% 122 39,1% 224 26,5% 346 29,9% 80 35,2% 84 10,6% 164 16,0% 349 18,9% 391 14,5% 740 16,3%
F2_other 509 38,9% 344 32,8% 853 36,2% 273 87,5% 598 70,7% 871 75,2% 109 48,0% 264 33,2% 373 36,5% 891 48,2% 1206 44,8% 2097 46,2%

2.2 Average number of services received

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Services received 1.308 3,49 1.048 3,67 2.356 3,57 312 4,12 846 4,02 1.158 4,05 227 4,24 795 4,25 1.022 4,25 1.847 3,69 2.689 3,95 4.536 3,84

2.3 Rating of services received

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
F2_coaching_rate 322 5,05 226 4,96 548 5,01 45 5,18 106 4,68 151 4,83 52 5,35 40 5,00 92 5,20 419 5,10 372 4,88 791 5,00
F2_counseling_rate 480 4,93 521 4,85 1.001 4,89 183 4,61 547 4,48 730 4,51 151 4,85 688 4,33 839 4,43 814 4,84 1.756 4,53 2.570 4,63
F2_guidance_rate 839 5,03 769 4,85 1.608 4,94 119 4,89 297 4,68 416 4,74 107 5,27 485 4,43 592 4,58 1.065 5,03 1.551 4,68 2.616 4,83
F2_ltskills_rate 458 5,14 322 5,14 780 5,14 63 5,19 132 5,05 195 5,10 48 5,44 102 4,90 150 5,07 569 5,17 556 5,08 1.125 5,12
F2_other_rate 216 4,42 328 3,59 544 3,92 49 5,06 126 3,94 175 4,25 35 4,69 341 2,62 376 2,81 300 4,56 795 3,23 1.095 3,59
F2_pss_rate 147 5,16 83 4,86 230 5,05 122 4,43 224 4,27 346 4,33 80 5,26 84 4,88 164 5,07 349 4,93 391 4,53 740 4,71
F2_reintegration_rate 123 4,58 246 4,71 369 4,67 185 4,55 560 4,34 745 4,39 143 4,83 663 4,45 806 4,51 451 4,65 1.469 4,45 1.920 4,50
F2_startup_rate 843 5,14 631 4,90 1.474 5,04 170 4,59 588 4,44 758 4,47 159 4,86 618 4,45 777 4,54 1.172 5,02 1.837 4,60 3.009 4,76
F2_stskills_rate 838 5,11 709 4,96 1.547 5,04 127 5,41 346 4,98 473 5,09 113 5,42 435 4,74 548 4,88 1.078 5,18 1.490 4,90 2.568 5,02

2.3.1 Rating of services received: F2_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 16 20,3% 63 79,7% 79 100,0% 2 15,4% 11 84,6% 13 100,0% 3 2,5% 117 97,5% 120 100,0% 21 9,9% 191 90,1% 212 100,0%
2 3 50,0% 3 50,0% 6 100,0% – – 3 100,0% 3 100,0% 1 100,0% – – 1 100,0% 4 40,0% 6 60,0% 10 100,0%
3 48 27,1% 129 72,9% 177 100,0% 6 10,3% 52 89,7% 58 100,0% 4 2,2% 179 97,8% 183 100,0% 58 13,9% 360 86,1% 418 100,0%
4 34 65,4% 18 34,6% 52 100,0% 4 30,8% 9 69,2% 13 100,0% 4 26,7% 11 73,3% 15 100,0% 42 52,5% 38 47,5% 80 100,0%
5 37 46,8% 42 53,2% 79 100,0% 10 34,5% 19 65,5% 29 100,0% 7 43,8% 9 56,2% 16 100,0% 54 43,5% 70 56,5% 124 100,0%
6 78 51,7% 73 48,3% 151 100,0% 27 45,8% 32 54,2% 59 100,0% 16 39,0% 25 61,0% 41 100,0% 121 48,2% 130 51,8% 251 100,0%

2.3.2 Rating of services received: F2_guidance_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 12 48,0% 13 52,0% 25 100,0% 1 14,3% 6 85,7% 7 100,0% – – – – – – 13 40,6% 19 59,4% 32 100,0%
2 8 47,1% 9 52,9% 17 100,0% 3 37,5% 5 62,5% 8 100,0% 1 33,3% 2 66,7% 3 100,0% 12 42,9% 16 57,1% 28 100,0%
3 56 49,1% 58 50,9% 114 100,0% 16 21,9% 57 78,1% 73 100,0% 8 8,2% 89 91,8% 97 100,0% 80 28,2% 204 71,8% 284 100,0%
4 150 46,3% 174 53,7% 324 100,0% 24 31,2% 53 68,8% 77 100,0% 10 5,3% 178 94,7% 188 100,0% 184 31,2% 405 68,8% 589 100,0%
5 258 49,3% 265 50,7% 523 100,0% 19 22,6% 65 77,4% 84 100,0% 30 18,6% 131 81,4% 161 100,0% 307 40,0% 461 60,0% 768 100,0%
6 355 58,7% 250 41,3% 605 100,0% 56 33,5% 111 66,5% 167 100,0% 58 40,6% 85 59,4% 143 100,0% 469 51,3% 446 48,7% 915 100,0%

2.3.3 Rating of services received: F2_stskills_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 13 54,2% 11 45,8% 24 100,0% – – 4 100,0% 4 100,0% – – – – – – 13 46,4% 15 53,6% 28 100,0%
2 10 62,5% 6 37,5% 16 100,0% 1 33,3% 2 66,7% 3 100,0% 1 100,0% – – 1 100,0% 12 60,0% 8 40,0% 20 100,0%
3 42 45,7% 50 54,3% 92 100,0% 6 12,0% 44 88,0% 50 100,0% 4 9,1% 40 90,9% 44 100,0% 52 28,0% 134 72,0% 186 100,0%
4 142 49,0% 148 51,0% 290 100,0% 12 18,5% 53 81,5% 65 100,0% 9 6,0% 140 94,0% 149 100,0% 163 32,3% 341 67,7% 504 100,0%
5 231 52,3% 211 47,7% 442 100,0% 29 24,8% 88 75,2% 117 100,0% 32 18,0% 146 82,0% 178 100,0% 292 39,6% 445 60,4% 737 100,0%
6 400 58,6% 283 41,4% 683 100,0% 79 33,8% 155 66,2% 234 100,0% 67 38,1% 109 61,9% 176 100,0% 546 50,0% 547 50,0% 1093 100,0%

2.3.4 Rating of services received: F2_ltskills_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% 1 50,0% 1 50,0% 2 100,0%
2 1 50,0% 1 50,0% 2 100,0% 1 100,0% – – 1 100,0% – – 2 100,0% 2 100,0% 2 40,0% 3 60,0% 5 100,0%
3 28 70,0% 12 30,0% 40 100,0% 5 31,2% 11 68,8% 16 100,0% 2 50,0% 2 50,0% 4 100,0% 35 58,3% 25 41,7% 60 100,0%
4 81 52,6% 73 47,4% 154 100,0% 9 25,0% 27 75,0% 36 100,0% 1 3,2% 30 96,8% 31 100,0% 91 41,2% 130 58,8% 221 100,0%
5 144 61,3% 91 38,7% 235 100,0% 14 29,8% 33 70,2% 47 100,0% 14 26,9% 38 73,1% 52 100,0% 172 51,5% 162 48,5% 334 100,0%
6 204 58,5% 145 41,5% 349 100,0% 34 36,2% 60 63,8% 94 100,0% 30 50,0% 30 50,0% 60 100,0% 268 53,3% 235 46,7% 503 100,0%

2.3.5 Rating of services received: F2_counseling_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 100,0% – – 1 100,0% 1 20,0% 4 80,0% 5 100,0% – – – – – – 2 33,3% 4 66,7% 6 100,0%
2 2 100,0% – – 2 100,0% 9 52,9% 8 47,1% 17 100,0% 1 33,3% 2 66,7% 3 100,0% 12 54,5% 10 45,5% 22 100,0%
3 42 51,9% 39 48,1% 81 100,0% 31 20,3% 122 79,7% 153 100,0% 21 12,7% 145 87,3% 166 100,0% 94 23,5% 306 76,5% 400 100,0%
4 104 40,5% 153 59,5% 257 100,0% 37 18,9% 159 81,1% 196 100,0% 30 10,2% 264 89,8% 294 100,0% 171 22,9% 576 77,1% 747 100,0%
5 167 48,8% 175 51,2% 342 100,0% 46 31,9% 98 68,1% 144 100,0% 46 20,8% 175 79,2% 221 100,0% 259 36,6% 448 63,4% 707 100,0%
6 164 51,6% 154 48,4% 318 100,0% 59 27,4% 156 72,6% 215 100,0% 53 34,2% 102 65,8% 155 100,0% 276 40,1% 412 59,9% 688 100,0%

2.3.6 Rating of services received: F2_coaching_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 33,3% 2 66,7% 3 100,0% – – 1 100,0% 1 100,0% – – – – – – 1 25,0% 3 75,0% 4 100,0%
2 7 70,0% 3 30,0% 10 100,0% – – 2 100,0% 2 100,0% – – – – – – 7 58,3% 5 41,7% 12 100,0%
3 22 56,4% 17 43,6% 39 100,0% 4 25,0% 12 75,0% 16 100,0% 2 28,6% 5 71,4% 7 100,0% 28 45,2% 34 54,8% 62 100,0%
4 55 57,9% 40 42,1% 95 100,0% 8 18,6% 35 81,4% 43 100,0% 6 42,9% 8 57,1% 14 100,0% 69 45,4% 83 54,6% 152 100,0%
5 98 54,1% 83 45,9% 181 100,0% 9 30,0% 21 70,0% 30 100,0% 16 64,0% 9 36,0% 25 100,0% 123 52,1% 113 47,9% 236 100,0%
6 139 63,2% 81 36,8% 220 100,0% 24 40,7% 35 59,3% 59 100,0% 28 60,9% 18 39,1% 46 100,0% 191 58,8% 134 41,2% 325 100,0%

2.3.7 Rating of services received: F2_startup_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 4 36,4% 7 63,6% 11 100,0% 6 26,1% 17 73,9% 23 100,0% 5 55,6% 4 44,4% 9 100,0% 15 34,9% 28 65,1% 43 100,0%
2 9 42,9% 12 57,1% 21 100,0% 3 16,7% 15 83,3% 18 100,0% 2 28,6% 5 71,4% 7 100,0% 14 30,4% 32 69,6% 46 100,0%
3 58 55,2% 47 44,8% 105 100,0% 25 18,8% 108 81,2% 133 100,0% 20 16,4% 102 83,6% 122 100,0% 103 28,6% 257 71,4% 360 100,0%
4 144 49,3% 148 50,7% 292 100,0% 44 22,2% 154 77,8% 198 100,0% 28 10,9% 228 89,1% 256 100,0% 216 29,0% 530 71,0% 746 100,0%
5 208 54,2% 176 45,8% 384 100,0% 34 19,2% 143 80,8% 177 100,0% 33 17,6% 154 82,4% 187 100,0% 275 36,8% 473 63,2% 748 100,0%
6 420 63,5% 241 36,5% 661 100,0% 58 27,8% 151 72,2% 209 100,0% 71 36,2% 125 63,8% 196 100,0% 549 51,5% 517 48,5% 1066 100,0%

2.3.8 Rating of services received: F2_reintegration_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 37,5% 5 62,5% 8 100,0% 5 20,8% 19 79,2% 24 100,0% 1 50,0% 1 50,0% 2 100,0% 9 26,5% 25 73,5% 34 100,0%
2 – – 1 100,0% 1 100,0% 7 46,7% 8 53,3% 15 100,0% 1 100,0% – – 1 100,0% 8 47,1% 9 52,9% 17 100,0%
3 20 51,3% 19 48,7% 39 100,0% 34 21,0% 128 79,0% 162 100,0% 19 16,4% 97 83,6% 116 100,0% 73 23,0% 244 77,0% 317 100,0%
4 33 30,6% 75 69,4% 108 100,0% 36 19,0% 153 81,0% 189 100,0% 32 10,7% 267 89,3% 299 100,0% 101 16,9% 495 83,1% 596 100,0%
5 34 29,6% 81 70,4% 115 100,0% 42 26,9% 114 73,1% 156 100,0% 37 15,6% 200 84,4% 237 100,0% 113 22,2% 395 77,8% 508 100,0%
6 33 33,7% 65 66,3% 98 100,0% 61 30,7% 138 69,3% 199 100,0% 53 35,1% 98 64,9% 151 100,0% 147 32,8% 301 67,2% 448 100,0%

2.3.9 Rating of services received: F2_pss_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 33,3% 2 66,7% 3 100,0% 10 35,7% 18 64,3% 28 100,0% 2 66,7% 1 33,3% 3 100,0% 13 38,2% 21 61,8% 34 100,0%
2 3 100,0% – – 3 100,0% 5 41,7% 7 58,3% 12 100,0% 1 100,0% – – 1 100,0% 9 56,2% 7 43,8% 16 100,0%
3 10 52,6% 9 47,4% 19 100,0% 22 31,0% 49 69,0% 71 100,0% 7 38,9% 11 61,1% 18 100,0% 39 36,1% 69 63,9% 108 100,0%
4 22 55,0% 18 45,0% 40 100,0% 21 36,2% 37 63,8% 58 100,0% 5 22,7% 17 77,3% 22 100,0% 48 40,0% 72 60,0% 120 100,0%
5 33 60,0% 22 40,0% 55 100,0% 14 22,6% 48 77,4% 62 100,0% 14 38,9% 22 61,1% 36 100,0% 61 39,9% 92 60,1% 153 100,0%
6 78 70,9% 32 29,1% 110 100,0% 50 43,5% 65 56,5% 115 100,0% 51 60,7% 33 39,3% 84 100,0% 179 57,9% 130 42,1% 309 100,0%

2.3.10 Rating of services received: Graph

2.4 Explanations for low ratings

2.4.1 Low ratings explanations: F3_guidance_lr

Migration Gender F3_guidance_lr n
Local Population Female Distance to the training center was too far for her so she used to get there late 1
Local Population Female domaine pas trop demandé 1
Local Population Female formation n’a pas servi de trouver un emploi 6
Local Population Female formation non qualifiante 3
Local Population Female la formation n’a pas permis de trouver un emploi 1
Local Population Female la formation n’a pas servi de trouver un emploi 1
Local Population Female n’a pas servi de trouver un emploi, attestation non reconnue 1
Local Population Female not received 1
Local Population Female nuk ka qene aspak e mire pajisja jo ajo qe kam dashur 1
Local Population Female sa ljudima iz te neke organizacije sam razgovarala sta bih mogla da radim i kolika je verovatnoca da nadjem posao, to je bio kao intervju gde su mi uzeli podatke i nikada vise se nisu javili 1
Local Population Female seshte nda e knaqur me paisjet qe i ka marre 1
Local Population Female spécialité non demandée 1
Local Population Female zato sto je mnogo proslo od tad da se jedva secam , znam da sam o mogucnosti zaposlenja pricala sa nekim 1
Local Population Male Nije dobio nijedan odgovor nakon što se obratio za pomoć u pronalaženju posla. Prosledili su mu kontakt kolege PMD savetnika kome je pisao, ali on mu do danas nije odgovorio. 1
Local Population Male None 1
Local Population Male choix de la formation est imposé par AHK CORP 1
Local Population Male domaine pas trop demandé 1
Local Population Male duration was too short so I didn’t really grasp the information that was needed 1
Local Population Male formation n’a pas servi de trouver un emploi 5
Local Population Male formation non qualifiante 4
Local Population Male la formation n’a pas servi de trouver un emploi 1
Local Population Male n’a pas servi de trouver un emploi 1
Local Population Male pas de valeur ajoutée 1
Local Population Male spécialité non demandée 1
Local Population Male spécialité non demandée, difficulté de trouver un emploi 2
Migrants from GER Female nisu mi mogli pomoći da nabavim opremu niti da se mogu prijaviti na tržištu rada sa kosovskom diplomom za frizere 1
Migrants from GER Female nuk ishte e vlefshme 1
Migrants from GER Female podneli zahtev za mašinu za šivenje ali je koš nismo dobili 1
Migrants from GER Female samo sam razgovarala sa nrekim davno o mogucem zaposlenju u nemackoj 1
Migrants from GER Male Nuk kam mar udhezime ne karriere 1
Migrants from GER Male Nuk kane qene mjete qe i kam kerkuar dhe nuk kane mjaftuar 1
Migrants from GER Male Samo su ga uputili na biro. 1
Migrants from GER Male Such didn’t take place 1
Migrants from GER Male asnje 1
Migrants from GER Male molio sam da mi pomognu da nadjem posao al sam na kraju sam nasao 1
Migrants from GER Male nuk kane qene mjete te mjaftueshme 1
Migrants from GER Male skom marre qaq sa. kom prit 1
Migrants from GER Male sme ka pelqyer fare per shkak se nuk ka pas ndonje ndihme ne karriere. 1
Migrants from GER Male uzela podatke i nije vise dolazila 1
Migrants from GER Male vaznije mi je bilo da obezbedim socijalni smestaj 1
Migrants from third countries Female It was very poor. Not well done 1
Migrants from third countries Male nuk ishte mjaftushem 1

2.4.2 Low ratings explanations: F3_stskills_lr

Migration Gender F3_stskills_lr n
Local Population Female Kurs je bio online samo dva časa teorije, od kojih prvi čas nije bio na temu dijagnostike. Nije mnogo novih stvari naučio. 1
Local Population Female Les entreprises privilègient les diplômés 1
Local Population Female Nije bilo dovoljno vremena da nauči osnove manikira, a i devojka koja je obučavala nije bila dovoljno zainteresovana da pokaže i nauči polaznika bar tim osnovama. 1
Local Population Female Ponuđena joj je kratka stručna obaveza, misli da je za frizere, ali ona tada nije mogla da ide zbog obaveza. Nisu je zvali više. 1
Local Population Female Wasn’t too satisfied with Digital marketing training. 1
Local Population Female formation incomplète, partie pratique insuffisante 1
Local Population Female formation n’a pas servi de trouver un emploi 6
Local Population Female formation non qualifiante 3
Local Population Female la formation n’a pas permis de trouver un emploi 2
Local Population Female la formation n’a pas servi de trouver un emploi 1
Local Population Female n’a pas servi de trouver un emploi, attestation non reconnue 1
Local Population Female na obuci nisam skoro ništa naučila,morala sam da platim još dve obuke da bi naučila osnovno 1
Local Population Female samo su porazgovarali sa mnom koje bih poslove mogla da radim sa dijagnozama koje imam i od toga nije bilo nista vec godinu dana 1
Local Population Female spécialité non demandée, difficulté de trouver un emploi 1
Local Population Female the firm I was deployed to for training didn’t do enough practicals 1
Local Population Male La formation n’a pas permis de trouver un emploi 1
Local Population Male Les entreprises privilègient les diplômés 1
Local Population Male Tražio je obuku za vozače kamiona i upravljanje građevinskim mašinama, pošto je njegov drug to već prošao, tako je i saznao, ali su mu rekli da će ga pozvati kada to bude aktuelno. To je bilo pre dve godine, ali ništa do sada nije dobio, niti su 1
Local Population Male formation n’a pas servi de trouver un emploi 5
Local Population Male formation non qualifiante 4
Local Population Male la formation n’a pas servi de trouver un emploi 1
Local Population Male n’a pas servi de trouver un emploi 1
Local Population Male pas de valeur ajoutée, pas de pratique, formation non qualifiante 1
Local Population Male spécialité non demandée, difficulté de trouver un emploi 2
Migrants from GER Female nuk sqaruan trajnimin e duhur 1
Migrants from GER Male Nuk osht qe mkan ndihmu shume ato trajnime ma shume kom pas nevoje per pajisje 1
Migrants from GER Male asnje 1
Migrants from GER Male nisam još otišla na obuku 1
Migrants from GER Male nuk ka qene edhe shum adekuat per kohen qe e kemi mbajt trajnimin 1
Migrants from GER Male predao sam još prošle godine papire za obuku za vozača ali me nisu zvali još 1
Migrants from GER Male uzela podatke ali nije me zvala za obuku 1
Migrants from third countries Female Poor training 1

2.4.3 Low ratings explanations: F3_ltskills_lr

Migration Gender F3_ltskills_lr n
Local Population Female she wishes she had more hands on training 1
Local Population Male The training period was very short and the school lacked adequate equipment to really teach me the practical aspect of driving heavy duty machines in depth. 1
Migrants from GER Female nuk me ka thene njeri per trejnim 1
Migrants from GER Male asnje 1
Migrants from third countries Female She was assigned to learn fashion designing from a woman but she didn’t have time for her at all therefore she didn’t learn anything from her. 1
Migrants from third countries Male He was redirected to go to a factory to learn the machinery from the man but he ended up not learning anything for 2 weeks.The man wasn’t good at the job 1
Migrants from third countries Male nuk me ndihmoi shume 1

2.4.4 Low ratings explanations: F3_counseling_lr

Migration Gender F3_counseling_lr n
Local Population Female They told her they didn’t have all the materials for the training but she had to buy it herself. she felt very bad because some others got the items and she didn’t. 1
Local Population Female pricala sam i mogucem zaposlenju al je na tome ostalo 1
Local Population Female sem tog razgovora i praznih obecanja kojima se jos nadam nije bilo nista 1
Migrants from GER Female nismo dobili nšta,savetovali su nas gde sve da se obratimo ,i od tada dva puta smo čuli i od tada se ne javljaju na telefon 1
Migrants from GER Female nuk eshte ofruar fare 1
Migrants from GER Female nuk ofrohet ne nivelin e duhur ,nuk eshte ofruar 1
Migrants from GER Female nuk u ofruar 1
Migrants from GER Female poslali su me na tržište rada ali tamo nisu prihvatili moju diplomu jer nije priznata jer sam školu završila u prizrenu 1
Migrants from GER Female savetovala sam se za pohadjanje neke vanredne skole i dobijanja sertifikata 1
Migrants from GER Female sem razgovora nije bilo nicega vise 1
Migrants from GER Female sve se svelo samo na razgovor i nikakva pomoc 1
Migrants from GER Female zato sto od toga vise nista nije bilo, samo pazna prica, rekli su da pratimo neke sajtove, mi se u to ne razumemo bas tako da od toga nista 1
Migrants from GER Female zato sto sem tog savetovanja nije bilo nista a trazil smo pomoc za dete koje boljuje od karcinoma 1
Migrants from GER Male Jo 1
Migrants from GER Male asnje 1
Migrants from GER Male il était indisponible lors de la phase de l’orientation 1
Migrants from GER Male ka qene vetem vizite e shkurt e padobishme 1
Migrants from GER Male nisam dobila podršku niti savet 1
Migrants from GER Male not helpful 1
Migrants from GER Male osim price u nekoliko navrata nista nije bilo , ne mogu da zavrsim ni zaposao ni za kucu bilo sta, neki socijalni smestaj 1
Migrants from GER Male projet non lancé : pas de traitement individuel 1
Migrants from GER Male rekli su da će me zvati za neku obuku ali me nisu zvali 1
Migrants from GER Male samo smo jednom razgovarali, jedva se secam i vise me niko nije zvao 1
Migrants from GER Male السبب عدم تلقي الاستشارات القانونيه الازمة لاينجاح المشروع الخاص بيه منما أدى إلى فشل المشروع 1
Migrants from GER Male بسبب ضيق الوقت 1
Migrants from third countries Female Poor 1
Migrants from third countries Male nuk ishte I qarte 1
Migrants from third countries Male sem tog razgovora niko me nije zvao 1

2.4.5 Low ratings explanations: F3_coaching_lr

Migration Gender F3_coaching_lr n
Local Population Female They promised to take her through the trainings she missed but they never did a recap for her. 1
Local Population Female none 1
Local Population Female ucestvovala sam u nekim skupovima, al se jedva secam sad toga, davno je bilo 1
Migrants from GER Male nuk e kam mar si sherbim 1
Migrants from GER Male the training wasn’t substantial due to the fact that we didn’t really know and understand what we were thought and it wasn’t well explained to us 1

2.4.6 Low ratings explanations: F3_startup_lr

Migration Gender F3_startup_lr n
Local Population Female A website was supposed to be created for them but it wasn’t done hence she couldnt use the laptop she received fully. 1
Local Population Female I expected more than just a manual machine to Start-up 1
Local Population Female Provided a starter kit. It was good but not very helpful for a startup 1
Local Population Female Received 1 hair dryer, couldn’t get money to rent a store and purchase other necessary things to set up a salon 1
Local Population Female Received two goats that died after two weeks. 1
Local Population Female Respondent received hairdryer and basin and feels its not enough. 1
Local Population Female She was sent to a place to learn more about sowing but she didn’t learn much from there and she wasn’t happy about that. 1
Local Population Female Support given was not enough to manage my business 1
Local Population Female kualitet i dobet, si dhe i jane dhene gerrshere edhe krahni per me fenerate qe nuk ju kan dashte sepse ka apliku per pajisje per thonje 1
Local Population Female nuk punojne mire,nuk jane te mira,adekuate pajisjet e marra 1
Local Population Female ska mjaftuar per te filluar biznes 1
Local Population Female support was eventually not received since there was no confirmation of payment by the account holder who happens to be a friend. 1
Local Population Female the oven cannot be used to bake bread due to this she is unable to work with the oven 1
Local Population Male Funds were not enough 1
Local Population Male Funds were unavailable 1
Local Population Male He is into Fashion designing but he doesn’t use the laptop much in this area. He feels like the trainings should start from the basics because he couldn’t apply what he learnt because he didn’t have the beginner training. 1
Local Population Male I could not use it because I didn’t get a job. 1
Local Population Male MATERIALE , VEGLA PUNE 1
Local Population Male No financial support received. 1
Local Population Male Not satisfied with was given. 1
Local Population Male Nuk kam qene aspak i kenaqur sepse me dy tri pajisje nuk mund te marresh hapa te fillosh biznes 1
Local Population Male SEPSE PO VONON. ESHTE NJE NDIHMESE MINIMALE QE NUK NDIHMON DHE AQ 1
Local Population Male The birds he Had all died so he had to shut down the business. 1
Local Population Male Tools 1
Local Population Male Tražio je mašine za stolariju, da bi otvorio svoju firmu, ima stare mašine, ali one nisu više produktivne i bezbedne. Nije još ništa dobio. Čeka odgovor. 1
Local Population Male Vlera e gjerave qe i jane ofruar nuk i ka plotesuar kushtet per te vazhduar punen, poashtu nuk ka marre mjete te kualitetit te larte e kjo ka qene arsyeja e vleresimit te dobet. 1
Local Population Male dola i perzgjedhur si fitues 2 her,edhe nuk mora asnje pergjigje per te marr sherblimin per 2000 Euro 1
Local Population Male it’s not original 1
Local Population Male samo smo razgovarali o tome i mogucnostima za otvaranje firme al sam shvatio da nije to za mene jos 1
Local Population Male the animals got there sick and tired, and most of them died a week after they got there 1
Local Population Male the animals were week on arrival and therefore died on arrival 1
Local Population Male we were given sewing machines and other small materials, but with fashion and designing we need a lot of machines to work. so the support was inadequate 1
Migrants from GER Female Nije još dobila opremu za svoj posao, tražila je šurilicu za prasad i mašinu za sečenje pečenja. To je bilo pre mesec i po. Još čeka odgovor, rekli su da će zvati do 21.og aprila. Ima svoju pečenjaru u okviru poljoprivrednog gazdinstva. 1
Migrants from GER Female Nuk kane qene mjete te dhuruara mjaftueshem per te filuar nje biznes 1
Migrants from GER Female akoma nuk kan ardhur ,duhet firmosur nga donatoret,ne pritje 1
Migrants from GER Female kerkova por nuk ofrohet per banoret e qytetit me thane 1
Migrants from GER Female me ofruan vetem corape dhe kanatiere 1
Migrants from GER Female nuk ishte cilesor malli qe mora 1
Migrants from GER Female nuk ofrohet ,dhe individ te perzgjedhur ofrohet 1
Migrants from GER Female nuk pata mbeshtetje,nuk u afrua fare mbeshtetja 1
Migrants from GER Female pas de valeur ajoutée : le kit est insuffisant 1
Migrants from GER Male JO PAISJE TE MJAFTUESHME 1
Migrants from GER Male Lenteur dans le traitement des dossiers 1
Migrants from GER Male Mjetet te cilat ju kane ofru nuk kane qene te mjaftueshme per me fillu punen ose me hap biznes. 1
Migrants from GER Male NUK ISHIN TE DOBISHME 1
Migrants from GER Male Nije dobio ovaj vid podrške, a tražio je mašinu za cepanje drva, kako bi pokrenuo svoj posao. 1
Migrants from GER Male Non réception de la subvention, non professionnalisme des employés 1
Migrants from GER Male Per shkak te kreditit nuk ka pase mundesi me zgjeru biznesin sepse mbeshtetja nuk ka qene e mjaftueshme. 1
Migrants from GER Male accompagnement, assistance et appui matériel incomplet 1
Migrants from GER Male aide insuffisante, subvention de mauvaise qualité 1
Migrants from GER Male aide insuffisante,attente 1
Migrants from GER Male ana financiare nuk ofruan ,po shes kanace 1
Migrants from GER Male arrêt de la procédure du traitement du dossier car il a transite par l’Italie 1
Migrants from GER Male asnje 1
Migrants from GER Male aspak mbeshtetje per nje fillim te ri 1
Migrants from GER Male disa mjete pune 1
Migrants from GER Male la procédure est très longue 1
Migrants from GER Male la procédure est très longue, projet en cours de création 1
Migrants from GER Male money received was small per what my colleagues received 1
Migrants from GER Male nuk ka pas mundesi me 2-3 pajisje te hapesh biznis 1
Migrants from GER Male podneovsam zahtev I cekao si novac,, Ali nista nisam dobio. hteo sam da otvorim samousluznu perionicu, zakupio sam prostor, ugovore. zahtevali predracune save sam podneo, Ali mi nisu objasnili ni zasto su me odbili niti me Iko iz helpa vise kontaktirao 1
Migrants from GER Male procédure longue projet en cours de création 1
Migrants from GER Male procédure non complète, non professionnalisme des employés, impossible de joindre les personnes concernées 1
Migrants from GER Male projet en cours de création 1
Migrants from GER Male projet non lancé en attente de subvention 1
Migrants from GER Male sme kan mjaftuar mjetet dhe nuk kam pas te ardhura te mjaftueshme financiare 1
Migrants from GER Male subventions reçues insuffisantes 1
Migrants from GER Male the provision made wasn’t sufficient enough 1
Migrants from GER Male traitement incomplet du dossier, la procédure est très longue, la non disponibilité des interlocuteurs 1
Migrants from GER Male tražili smo novac za pokretanje posla ali nismo dobili 1
Migrants from GER Male tražio sam pomoć za frezu ali nije dobijena 1
Migrants from GER Male لم يكن كافيا بالنسبة لهذا المشروع 1
Migrants from GER Male لم يكن كافيا لمستلزمات المشروع 1
Migrants from third countries Female The starter kit given was very poor. Can’t be used for a startup 1
Migrants from third countries Female Very poor. Couldn’t help to establish business 1
Migrants from third countries Female hair dryer alone is not enough to set up a hair dresser business 1
Migrants from third countries Female nisam dobila nikakvu pomoć za otvaranje i prširenje delatnosti ,rekli su mi da nemaju sada tu mogućnost da daju pomoć 1
Migrants from third countries Female nuk kane qene pajisjet e kerkuara 1
Migrants from third countries Female لم يكن كافيا 1
Migrants from third countries Female لم يكن كافيا لسبل العيش 1
Migrants from third countries Male Didn’t get the expected tools for Electric fencing, but a bit satisfied with what was received for car tracking. 1
Migrants from third countries Male He didn’t receive anything but was supposed to get handson training for 2 weeks which he feels he wasted his time there. 1
Migrants from third countries Male Instead of four goats, he received two and the two couldn’t survive well in Benin. 1
Migrants from third countries Male The financial support was too small to Start-up 1
Migrants from third countries Male ka marre vetem njeren pjese te makinerise qe ju ka dashte 1
Migrants from third countries Male they didn’t provide the shop that I requested for 1
Migrants from third countries Male غير مفيدة 1
Migrants from third countries Male كانت المبلغ قليل لذالك اخترت 1
Migrants from third countries Male لم يكن الدعم كافيالبدء الشغل رغم وجود تدريب ناجح 1

2.4.7 Low ratings explanations: F3_reintegration_lr

Migration Gender F3_reintegration_lr n
Local Population Female Tražila je materijal za renoviranje kuće, ali nije dobila jer se kuća ne vodi na nju. 1
Local Population Female Tražila je materijal za renoviranje kuće, odbili su je. Uputili su je na drugu organizaciju za tu vrstu pomoći. 1
Local Population Female Zato što nije dobila traženu vrstu pomoći, odbili su je. 1
Local Population Male JO 1
Local Population Male Nije bilo podrške, a tražili su materijal za renoviranje kuće. 1
Local Population Male Tražio je građevinski materijal za podizanje krova na kući, ali je odbijen, jer kuća nije zvanično na njegovo ime. 1
Local Population Male Tražio je materijal da završi građenje kuće. Nije ništa dobio. Rekli su da će se javiti, ali nisu. Ponudili su belu tehniku, ali ni to nisu dali. Nisu se od tada javili. 1
Local Population Male Tražio je materijal za renoviranje kuće, ali ga do sada nije dobio. Rečeno mu je ako ga do februara ne pozovu, onda neće ni biti materijala, odnosno ove vrste pomoći. 1
Local Population Male Tražio je materijal za sanaciju krova, ali su ga odbili. Izašli su na teren par puta i na kraju rekli da nije prioritet. 1
Migrants from GER Female Nije dobijena pomoć, nisu ni izašli na teren, a tražili su materijal za renoviranje kuće. 1
Migrants from GER Female Nije dovoljno što su joj dali, samo je dobila šporet i veš mašinu, a tražila je materijal za kuću. Nije ga dobila jer kuća nije bila njena, već njenog brata. 1
Migrants from GER Female Tražila je materijal da sredi dečije sobe i to konkretno plafone i krov, ali nije dobila ništa, niko je nije kontaktirao do danas. 1
Migrants from GER Female Tražila je materijal za sanaciju krova, ali još uvek ništa nije dobila. Rekli su da će se javiti, ali nisu do sada. 1
Migrants from GER Female Tražili su materijal za kuću i to za izolaciju, ali nisu mogli da dobiju, jer kuća u kojoj žive nije njihova, ne vodi se na njih, to im je rečeno. 1
Migrants from GER Female Tražili su nameštaj za kuću, rekli su im da će im javiti, ali ih niko nije zvao do sada, tako da nisu dobili ovu vrstu pomoći-podrške. 1
Migrants from GER Female nije se našlo rešenje za moj problem ,za prijavu na tržištu rada ,da mi bude priznata diploma 1
Migrants from GER Female nuk eshte ofruar ne niovelin e duhur 1
Migrants from GER Female nuk me kane dhene edhe pse kam shkuar dhe i kam telefonuar 1
Migrants from GER Female nuk pata mbeshtetje te favorshme 1
Migrants from GER Female osim kontakta kome treba da se javimo za pomoc nikada nam niko stvarno nije pomogao 1
Migrants from GER Female samo smo obavili razgovor i nikada mi niko nije pomogao niti me je zvao 1
Migrants from GER Male Još uvek nije dobio ovaj vid pomoći-podrške, obraćao se za pomoć u kupovini materijala za renoviranje kuće i nameštaj. 1
Migrants from GER Male NUK ISHTE DOBISHME 1
Migrants from GER Male NUK TKA NDIHMU 1
Migrants from GER Male Nije bilo usluge, tražio je nameštaj za kuću, belu tehniku i drva, ali nije dobio, odbili su ga uz obrazloženje da mu je otac već dobio pomoć, iako on ne živi sa ocem. 1
Migrants from GER Male Tražili smo novac , ali nismo dobili. 1
Migrants from GER Male Tražio je materijal za gradnju kuće. Još ništa nije dobio. Rekli su mu da za sada nema materijala, ali da će mu javiti kada bude bilo. 1
Migrants from GER Male Tražio je materijal za kuću, da renovira kuću, ali ništa još nije dobio, rekli su mu da će mu javiti. 1
Migrants from GER Male Tražio je materijal za kuću, pošto mu je kuća bila poplavljena. Trebao mu je materijal za malterisanje, prozori, materijal za kupatilo, nameštaj. Rekli su mu da će javiti. Još ništa nije dobio. 1
Migrants from GER Male Tražio je materijal za kuću, za fasadu, ali ništa do danas nije dobio. 1
Migrants from GER Male Tražio je nameštaj i to belu tehniku i drva, ali je odbijen, rečeno mu je da mu je otac već dobio. On ne živi sa ocem, ima svoju porodicu, malu bebu i u teškoj je materijalnoj situaciji. Razočaran je u ovu organizaciju. Nije bilo ni jedne druge vrs 1
Migrants from GER Male Tražio je pomoć u vidu nameštaja i to bele tehnike, ali su ga odbili jer je njegov otac već dobio. Tvrdi da sa ocem ne živi i da otac ima svoju porodicu, dvoje maloletne dece. 1
Migrants from GER Male Tražio je priključenje struje i nameštaj. Nije još uvek ništa dobio. 1
Migrants from GER Male aide insuffisante 1
Migrants from GER Male as ne riintegrim skam pas ndonje gje . 1
Migrants from GER Male dossier en cours, traitement non sérieux, le non professionnalisme des employés 1
Migrants from GER Male i pakenaqur 1
Migrants from GER Male it wasn’t enough 1
Migrants from GER Male kauqat jane prishe menihere 1
Migrants from GER Male niko nam nije dao neku pomoc, posao , smestaj , bilo sta, imamo 4 deteta 1
Migrants from GER Male nuk pata mbeshtetje as nga ana monetare dhe psikosociale 1
Migrants from GER Male nuk pata perkrahje fare 1
Migrants from GER Male osim ljudi koji su nas sacekali na aerodromu i dali nam informacije kome da se obratimo za sve vrste pomoci nije bilo drugih kontakata niti podrske vezane za to 1
Migrants from GER Male ponudili su obuku u nekoj firmi ali samo su upisali i nisu me zvali 1
Migrants from GER Male tebala mi je pomoć da završim obuku za vozača ali je nisam još dobio 1
Migrants from GER Male traio sa podršku za nabavku drva ali nisam dobio 1
Migrants from GER Male zvala nas mila uzea podatke mi smo trazili da nam pomogne da saniramo kuću koju smo dobili od komesarijata za izbeglice obratila na se zvala upisala podatke ali nismo dobili nikakvu pomoć 1
Migrants from GER Male لم أرى نفسي جزاء من هذا البرنامج و لم أكن راضي عن دعمل مالي كان قليله 1
Migrants from third countries Female Excellent 1
Migrants from third countries Female Tražio je materijal za renoviranje kuće, ali nije dobio. 1
Migrants from third countries Male انا اصلان شخص اجتماعي و جزاء من هذا مجتمع لهذا اقول هذا برنامج لم يساعدني في إعادة ادماجي ب مجتمع 1

2.4.8 Low ratings explanations: F3_pss_lr

Migration Gender F3_pss_lr n
Local Population Female nikakva posebna psihosocijalna podrska nije bila, samo prazna nadanja 1
Local Population Female none 1
Local Population Female to nije nikakva podrska , samo sam gubila vreme sa vama 1
Local Population Female zato sto se nista nije desilo sem tog razgovora, niko me nikada nije posetio niti dosao da vidi sta mi treba 1
Local Population Male Tražio je materijal da završi građenje kuće. Nije ništa dobio. Rekli su da će se javiti, ali nisu. Ponudili su belu tehniku, ali ni to nisu dali. Nisu se od tada javili. 1
Local Population Male Tražio je materijal za sanaciju krova, ali su ga odbili. Izašli su na teren par puta i na kraju rekli da nije prioritet. 1
Migrants from GER Female Nedovoljna pomoć je pružena, sitnica. 1
Migrants from GER Female Nije dobijena pomoć, nisu ni izašli na teren, a tražili su materijal za renoviranje kuće. 1
Migrants from GER Female Nije dobila traženu pomoć, odnosno materijal da srdi plafone i krov. 1
Migrants from GER Female Not satisfied with the counseling at all. 1
Migrants from GER Female Tražila je materijal za sanaciju krova, ali još uvek ništa nije dobila. Rekli su da će se javiti, ali nisu do sada. 1
Migrants from GER Female Tražili su materijal za kuću i to za izolaciju, ali nisu mogli da dobiju, jer kuća u kojoj žive nije njihova, ne vodi se na njih, to im je rečeno. 1
Migrants from GER Female Tražili su nameštaj za kuću, rekli su im da će im javiti, ali ih niko nije zvao do sada, tako da nisu dobili ovu vrstu pomoći-podrške. 1
Migrants from GER Female covek ciji smo kontakt dobili na aerodromu ne postoji na toj adesi a ni druge sluzbe i udruzenja nam nisu nikada ponudili da se doskolujemo ili da radimo nesto , bilo sta 1
Migrants from GER Female nismo dobili nikakvu moralnu , materijanlnu podrsku kad smo izgubili bebu staru 7 meseci, ocekivali smo da nas bar neko uputi zasto se to dogodilo 1
Migrants from GER Female nuk eshte ofruar 1
Migrants from GER Female nuk flitet shume nga asnje 1
Migrants from GER Female pitali smo da li mogu nekako da nam pomognu il da nam budu podrska posle smrti drugog deteta, da bar saznamo kako se to desilo al nije nam niko pomogao 1
Migrants from GER Female sepse nuk me siguruan asgje,cdo gje kerkova vete per familjen time,pasi femija im ishte shume keq nga ana psikologjike dhe nuk me ndihmuan 1
Migrants from GER Female traili smo neku pomoć,finasnijsku,ali nisu mi dali 1
Migrants from GER Female trazili smo pomoć za ,hranu stan,sem da decu upišemo u šolu ostale pomoći nismo dobili 1
Migrants from GER Male Još uvek nije dobio ovaj vid pomoći-podrške, obraćao se za pomoć u kupovini materijala za renoviranje kuće i nameštaj. 1
Migrants from GER Male Nije bilo usluge, tražio je nameštaj za kuću, belu tehniku i drva, ali nije dobio, odbili su ga uz obrazloženje da mu je otac već dobio pomoć, iako on ne živi sa ocem. 1
Migrants from GER Male Not Satisfied from counseling. 1
Migrants from GER Male Pas de suivi 1
Migrants from GER Male SKA MBESHTETJE MJAFT 1
Migrants from GER Male Tražili smo novac, ali ništa nismo dobili. 1
Migrants from GER Male Tražio je materijal za gradnju kuće. Još ništa nije dobio. Rekli su mu da za sada nema materijala, ali da će mu javiti kada bude bilo. 1
Migrants from GER Male Tražio je materijal za kuću, da renovira kuću, ali ništa još nije dobio, rekli su mu da će mu javiti. 1
Migrants from GER Male Tražio je materijal za kuću, pošto mu je kuća bila poplavljena. Trebao mu je materijal za malterisanje, prozori, materijal za kupatilo, nameštaj. Rekli su mu da će javiti. Još ništa nije dobio. 1
Migrants from GER Male Tražio je materijal za kuću, za fasadu, ali ništa do danas nije dobio. 1
Migrants from GER Male Tražio je nameštaj i to belu tehniku i drva, ali je odbijen, rečeno mu je da mu je otac već dobio. On ne živi sa ocem, ima svoju porodicu, malu bebu i u teškoj je materijalnoj situaciji. Razočaran je u ovu organizaciju. 1
Migrants from GER Male Tražio je pomoć u vidu nameštaja i to bele tehnike, ali su ga odbili jer je njegov otac već dobio takvu vrstu pomoći. Tvrdi da sa ocem ne živi i da otac ima svoju porodicu, dvoje maloletne dece. 1
Migrants from GER Male Tražio je priključenje struje i nameštaj. Nije još uvek ništa dobio. 1
Migrants from GER Male aide insuffisante 1
Migrants from GER Male asnje mbeshtetje 1
Migrants from GER Male dossier en cours, traitement non sérieux, le non professionnalisme des employés 1
Migrants from GER Male en cours de consultation 1
Migrants from GER Male jednostavno me niko nije pozvao da pomogne a znaju u kmakvim uslovima zivim, da zivimo u nehigijenskom naselju i hranimo se iz kontejnera 1
Migrants from GER Male niko nas nije ni savetovao ni pomogao da se snadjem posle 33 godine koliko sam ziveo u nemackoj 1
Migrants from GER Male nuk e kam mar si sherbim 1
Migrants from GER Male nuk kemi pasur ndonje mbeshtetje psikosociale e cila ka ndiku ne jeten time. 1
Migrants from GER Male prise en charge par les médecins incomplète 1
Migrants from GER Male zato sto je to samo podrska da je tako nazovem u vidu razgovora gde sam dao svoje podtke, interesovanja a opet ni jedan konkretan zahtev za posao ili skolovanje, neku drugu vrstu pomoci i sl 1
Migrants from GER Male zvala nas mila uzea podatke mi smo trazili da nam pomogne da saniramo kuću koju smo dobili od komesarijata za izbeglice obratila na se zvala upisala podatke ali nismo dobili nikakvu pomoć 1
Migrants from GER Male غير مفيد 1
Migrants from third countries Female Poorly rendered 1
Migrants from third countries Female Very poor 1
Migrants from third countries Female sepse nuk na kane bere gje 1
Migrants from third countries Male i pakenaqur, ndjehem i stresuar 1

3 M2 MHPSS measures

3.1 Average number of beneficaries who received psychosocial support

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_pss 95 70,9% 39 29,1% 134 100,0% 41 40,2% 61 59,8% 102 100,0% 21 55,3% 17 44,7% 38 100,0% 157 57,3% 117 42,7% 274 100,0%
F2_reintegration 71 26,0% 202 74,0% 273 100,0% 104 20,8% 397 79,2% 501 100,0% 84 12,4% 596 87,6% 680 100,0% 259 17,8% 1195 82,2% 1454 100,0%
F2_reintegration & F2_pss 52 54,2% 44 45,8% 96 100,0% 81 33,2% 163 66,8% 244 100,0% 59 46,8% 67 53,2% 126 100,0% 192 41,2% 274 58,8% 466 100,0%
Total 218 43,3% 285 56,7% 503 100,0% 226 26,7% 621 73,3% 847 100,0% 164 19,4% 680 80,6% 844 100,0% 608 27,7% 1586 72,3% 2194 100,0%

3.2 Psychosocial situation BEFORE receiving MHPSS measures

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_reintegration - 1 10 71,4% 4 28,6% 14 100,0% 15 34,9% 28 65,1% 43 100,0% 10 23,8% 32 76,2% 42 100,0% 35 35,4% 64 64,6% 99 100,0%
F2_reintegration - 2 14 14,6% 82 85,4% 96 100,0% 28 20,9% 106 79,1% 134 100,0% 16 7,0% 213 93,0% 229 100,0% 58 12,6% 401 87,4% 459 100,0%
F2_reintegration - 3 31 24,6% 95 75,4% 126 100,0% 38 18,6% 166 81,4% 204 100,0% 37 12,3% 263 87,7% 300 100,0% 106 16,8% 524 83,2% 630 100,0%
F2_reintegration - 4 4 36,4% 7 63,6% 11 100,0% 10 18,9% 43 81,1% 53 100,0% 7 11,5% 54 88,5% 61 100,0% 21 16,8% 104 83,2% 125 100,0%
F2_reintegration - 5 4 66,7% 2 33,3% 6 100,0% 7 33,3% 14 66,7% 21 100,0% 5 33,3% 10 66,7% 15 100,0% 16 38,1% 26 61,9% 42 100,0%
F2_reintegration - 6 5 45,5% 6 54,5% 11 100,0% 6 13,0% 40 87,0% 46 100,0% 9 27,3% 24 72,7% 33 100,0% 20 22,2% 70 77,8% 90 100,0%
F2_pss - 1 9 81,8% 2 18,2% 11 100,0% – – 7 100,0% 7 100,0% 6 85,7% 1 14,3% 7 100,0% 15 60,0% 10 40,0% 25 100,0%
F2_pss - 2 13 86,7% 2 13,3% 15 100,0% 9 42,9% 12 57,1% 21 100,0% 4 44,4% 5 55,6% 9 100,0% 26 57,8% 19 42,2% 45 100,0%
F2_pss - 3 14 73,7% 5 26,3% 19 100,0% 12 44,4% 15 55,6% 27 100,0% 6 54,5% 5 45,5% 11 100,0% 32 56,1% 25 43,9% 57 100,0%
F2_pss - 4 13 52,0% 12 48,0% 25 100,0% 5 27,8% 13 72,2% 18 100,0% 1 33,3% 2 66,7% 3 100,0% 19 41,3% 27 58,7% 46 100,0%
F2_pss - 5 18 72,0% 7 28,0% 25 100,0% 9 52,9% 8 47,1% 17 100,0% 2 66,7% 1 33,3% 3 100,0% 29 64,4% 16 35,6% 45 100,0%
F2_pss - 6 27 75,0% 9 25,0% 36 100,0% 6 50,0% 6 50,0% 12 100,0% 2 40,0% 3 60,0% 5 100,0% 35 66,0% 18 34,0% 53 100,0%
F2_reintegration & F2_pss - 1 9 90,0% 1 10,0% 10 100,0% 12 26,1% 34 73,9% 46 100,0% 13 50,0% 13 50,0% 26 100,0% 34 41,5% 48 58,5% 82 100,0%
F2_reintegration & F2_pss - 2 5 33,3% 10 66,7% 15 100,0% 16 36,4% 28 63,6% 44 100,0% 13 54,2% 11 45,8% 24 100,0% 34 41,0% 49 59,0% 83 100,0%
F2_reintegration & F2_pss - 3 8 42,1% 11 57,9% 19 100,0% 19 38,8% 30 61,2% 49 100,0% 13 35,1% 24 64,9% 37 100,0% 40 38,1% 65 61,9% 105 100,0%
F2_reintegration & F2_pss - 4 9 75,0% 3 25,0% 12 100,0% 14 34,1% 27 65,9% 41 100,0% 7 46,7% 8 53,3% 15 100,0% 30 44,1% 38 55,9% 68 100,0%
F2_reintegration & F2_pss - 5 7 58,3% 5 41,7% 12 100,0% 12 40,0% 18 60,0% 30 100,0% 2 20,0% 8 80,0% 10 100,0% 21 40,4% 31 59,6% 52 100,0%
F2_reintegration & F2_pss - 6 13 52,0% 12 48,0% 25 100,0% 8 23,5% 26 76,5% 34 100,0% 11 78,6% 3 21,4% 14 100,0% 32 43,8% 41 56,2% 73 100,0%
Total - 1 28 80,0% 7 20,0% 35 100,0% 27 28,1% 69 71,9% 96 100,0% 29 38,7% 46 61,3% 75 100,0% 84 40,8% 122 59,2% 206 100,0%
Total - 2 32 25,4% 94 74,6% 126 100,0% 53 26,6% 146 73,4% 199 100,0% 33 12,6% 229 87,4% 262 100,0% 118 20,1% 469 79,9% 587 100,0%
Total - 3 53 32,3% 111 67,7% 164 100,0% 69 24,6% 211 75,4% 280 100,0% 56 16,1% 292 83,9% 348 100,0% 178 22,5% 614 77,5% 792 100,0%
Total - 4 26 54,2% 22 45,8% 48 100,0% 29 25,9% 83 74,1% 112 100,0% 15 19,0% 64 81,0% 79 100,0% 70 29,3% 169 70,7% 239 100,0%
Total - 5 29 67,4% 14 32,6% 43 100,0% 28 41,2% 40 58,8% 68 100,0% 9 32,1% 19 67,9% 28 100,0% 66 47,5% 73 52,5% 139 100,0%
Total - 6 45 62,5% 27 37,5% 72 100,0% 20 21,7% 72 78,3% 92 100,0% 22 42,3% 30 57,7% 52 100,0% 87 40,3% 129 59,7% 216 100,0%

3.3 Psychosocial situation AFTER receiving MHPSS measures

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_reintegration - 1 12 75,0% 4 25,0% 16 100,0% 7 43,8% 9 56,2% 16 100,0% 3 37,5% 5 62,5% 8 100,0% 22 55,0% 18 45,0% 40 100,0%
F2_reintegration - 2 2 28,6% 5 71,4% 7 100,0% 4 20,0% 16 80,0% 20 100,0% 2 25,0% 6 75,0% 8 100,0% 8 22,9% 27 77,1% 35 100,0%
F2_reintegration - 3 12 31,6% 26 68,4% 38 100,0% 12 16,4% 61 83,6% 73 100,0% 11 12,4% 78 87,6% 89 100,0% 35 17,5% 165 82,5% 200 100,0%
F2_reintegration - 4 21 19,3% 88 80,7% 109 100,0% 30 19,4% 125 80,6% 155 100,0% 21 7,5% 259 92,5% 280 100,0% 72 13,2% 472 86,8% 544 100,0%
F2_reintegration - 5 16 19,0% 68 81,0% 84 100,0% 36 22,0% 128 78,0% 164 100,0% 29 12,8% 197 87,2% 226 100,0% 81 17,1% 393 82,9% 474 100,0%
F2_reintegration - 6 5 50,0% 5 50,0% 10 100,0% 15 20,5% 58 79,5% 73 100,0% 18 26,1% 51 73,9% 69 100,0% 38 25,0% 114 75,0% 152 100,0%
F2_pss - 1 9 81,8% 2 18,2% 11 100,0% 2 33,3% 4 66,7% 6 100,0% 1 100,0% – – 1 100,0% 12 66,7% 6 33,3% 18 100,0%
F2_pss - 2 5 71,4% 2 28,6% 7 100,0% 3 20,0% 12 80,0% 15 100,0% 2 66,7% 1 33,3% 3 100,0% 10 40,0% 15 60,0% 25 100,0%
F2_pss - 3 9 64,3% 5 35,7% 14 100,0% 7 41,2% 10 58,8% 17 100,0% 1 50,0% 1 50,0% 2 100,0% 17 51,5% 16 48,5% 33 100,0%
F2_pss - 4 12 66,7% 6 33,3% 18 100,0% 15 57,7% 11 42,3% 26 100,0% 4 50,0% 4 50,0% 8 100,0% 31 59,6% 21 40,4% 52 100,0%
F2_pss - 5 19 65,5% 10 34,5% 29 100,0% 5 31,2% 11 68,8% 16 100,0% 7 70,0% 3 30,0% 10 100,0% 31 56,4% 24 43,6% 55 100,0%
F2_pss - 6 40 76,9% 12 23,1% 52 100,0% 9 40,9% 13 59,1% 22 100,0% 6 42,9% 8 57,1% 14 100,0% 55 62,5% 33 37,5% 88 100,0%
F2_reintegration & F2_pss - 1 6 66,7% 3 33,3% 9 100,0% 11 44,0% 14 56,0% 25 100,0% 2 100,0% – – 2 100,0% 19 52,8% 17 47,2% 36 100,0%
F2_reintegration & F2_pss - 2 5 100,0% – – 5 100,0% 10 40,0% 15 60,0% 25 100,0% 4 57,1% 3 42,9% 7 100,0% 19 51,4% 18 48,6% 37 100,0%
F2_reintegration & F2_pss - 3 3 42,9% 4 57,1% 7 100,0% 14 46,7% 16 53,3% 30 100,0% 6 46,2% 7 53,8% 13 100,0% 23 46,0% 27 54,0% 50 100,0%
F2_reintegration & F2_pss - 4 8 42,1% 11 57,9% 19 100,0% 14 31,1% 31 68,9% 45 100,0% 7 30,4% 16 69,6% 23 100,0% 29 33,3% 58 66,7% 87 100,0%
F2_reintegration & F2_pss - 5 10 47,6% 11 52,4% 21 100,0% 18 32,7% 37 67,3% 55 100,0% 12 34,3% 23 65,7% 35 100,0% 40 36,0% 71 64,0% 111 100,0%
F2_reintegration & F2_pss - 6 19 59,4% 13 40,6% 32 100,0% 14 21,9% 50 78,1% 64 100,0% 28 60,9% 18 39,1% 46 100,0% 61 43,0% 81 57,0% 142 100,0%
Total - 1 27 75,0% 9 25,0% 36 100,0% 20 42,6% 27 57,4% 47 100,0% 6 54,5% 5 45,5% 11 100,0% 53 56,4% 41 43,6% 94 100,0%
Total - 2 12 63,2% 7 36,8% 19 100,0% 17 28,3% 43 71,7% 60 100,0% 8 44,4% 10 55,6% 18 100,0% 37 38,1% 60 61,9% 97 100,0%
Total - 3 24 40,7% 35 59,3% 59 100,0% 33 27,5% 87 72,5% 120 100,0% 18 17,3% 86 82,7% 104 100,0% 75 26,5% 208 73,5% 283 100,0%
Total - 4 41 28,1% 105 71,9% 146 100,0% 59 26,1% 167 73,9% 226 100,0% 32 10,3% 279 89,7% 311 100,0% 132 19,3% 551 80,7% 683 100,0%
Total - 5 45 33,6% 89 66,4% 134 100,0% 59 25,1% 176 74,9% 235 100,0% 48 17,7% 223 82,3% 271 100,0% 152 23,7% 488 76,2% 640 100,0%
Total - 6 64 68,1% 30 31,9% 94 100,0% 38 23,9% 121 76,1% 159 100,0% 52 40,3% 77 59,7% 129 100,0% 154 40,3% 228 59,7% 382 100,0%

3.4 Beneficiaries by if MHPSS measures improved/equal/get worse its psychosocial situation

3.4.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_reintegration - Better 41 18,7% 178 81,3% 219 100,0% 72 20,3% 283 79,7% 355 100,0% 61 10,6% 516 89,4% 577 100,0% 174 15,1% 977 84,9% 1151 100,0%
F2_reintegration - Equal 21 65,6% 11 34,4% 32 100,0% 29 22,8% 98 77,2% 127 100,0% 20 20,8% 76 79,2% 96 100,0% 70 27,5% 185 72,5% 255 100,0%
F2_reintegration - Worse 6 46,2% 7 53,8% 13 100,0% 3 15,8% 16 84,2% 19 100,0% 3 42,9% 4 57,1% 7 100,0% 12 30,8% 27 69,2% 39 100,0%
F2_pss - Better 38 73,1% 14 26,9% 52 100,0% 20 37,0% 34 63,0% 54 100,0% 15 55,6% 12 44,4% 27 100,0% 73 54,9% 60 45,1% 133 100,0%
F2_pss - Equal 34 72,3% 13 27,7% 47 100,0% 16 47,1% 18 52,9% 34 100,0% 3 42,9% 4 57,1% 7 100,0% 53 60,2% 35 39,8% 88 100,0%
F2_pss - Worse 22 68,8% 10 31,2% 32 100,0% 5 35,7% 9 64,3% 14 100,0% 3 75,0% 1 25,0% 4 100,0% 30 60,0% 20 40,0% 50 100,0%
F2_reintegration & F2_pss - Better 17 47,2% 19 52,8% 36 100,0% 31 28,2% 79 71,8% 110 100,0% 40 46,5% 46 53,5% 86 100,0% 88 37,9% 144 62,1% 232 100,0%
F2_reintegration & F2_pss - Equal 28 60,9% 18 39,1% 46 100,0% 33 36,7% 57 63,3% 90 100,0% 14 50,0% 14 50,0% 28 100,0% 75 45,7% 89 54,3% 164 100,0%
F2_reintegration & F2_pss - Worse 6 54,5% 5 45,5% 11 100,0% 17 38,6% 27 61,4% 44 100,0% 5 41,7% 7 58,3% 12 100,0% 28 41,8% 39 58,2% 67 100,0%
Total - Better 96 31,3% 211 68,7% 307 100,0% 123 23,7% 396 76,3% 519 100,0% 116 16,8% 574 83,2% 690 100,0% 335 22,1% 1181 77,9% 1516 100,0%
Total - Equal 83 66,4% 42 33,6% 125 100,0% 78 31,1% 173 68,9% 251 100,0% 37 28,2% 94 71,8% 131 100,0% 198 39,1% 309 60,9% 507 100,0%
Total - Worse 34 60,7% 22 39,3% 56 100,0% 25 32,5% 52 67,5% 77 100,0% 11 47,8% 12 52,2% 23 100,0% 70 44,9% 86 55,1% 156 100,0%

3.4.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
F2_reintegration - Better 41 60,3% 178 90,8% 219 83,0% 72 69,2% 283 71,3% 355 70,9% 61 72,6% 516 86,6% 577 84,9% 174 68,0% 977 82,2% 1151 79,7%
F2_reintegration - Equal 21 30,9% 11 5,6% 32 12,1% 29 27,9% 98 24,7% 127 25,3% 20 23,8% 76 12,8% 96 14,1% 70 27,3% 185 15,6% 255 17,6%
F2_reintegration - Worse 6 8,8% 7 3,6% 13 4,9% 3 2,9% 16 4,0% 19 3,8% 3 3,6% 4 0,7% 7 1,0% 12 4,7% 27 2,3% 39 2,7%
F2_pss - Better 38 40,4% 14 37,8% 52 39,7% 20 48,8% 34 55,7% 54 52,9% 15 71,4% 12 70,6% 27 71,1% 73 46,8% 60 52,2% 133 49,1%
F2_pss - Equal 34 36,2% 13 35,1% 47 35,9% 16 39,0% 18 29,5% 34 33,3% 3 14,3% 4 23,5% 7 18,4% 53 34,0% 35 30,4% 88 32,5%
F2_pss - Worse 22 23,4% 10 27,0% 32 24,4% 5 12,2% 9 14,8% 14 13,7% 3 14,3% 1 5,9% 4 10,5% 30 19,2% 20 17,4% 50 18,5%
F2_reintegration & F2_pss - Better 17 33,3% 19 45,2% 36 38,7% 31 38,3% 79 48,5% 110 45,1% 40 67,8% 46 68,7% 86 68,3% 88 46,1% 144 52,9% 232 50,1%
F2_reintegration & F2_pss - Equal 28 54,9% 18 42,9% 46 49,5% 33 40,7% 57 35,0% 90 36,9% 14 23,7% 14 20,9% 28 22,2% 75 39,3% 89 32,7% 164 35,4%
F2_reintegration & F2_pss - Worse 6 11,8% 5 11,9% 11 11,8% 17 21,0% 27 16,6% 44 18,0% 5 8,5% 7 10,4% 12 9,5% 28 14,7% 39 14,3% 67 14,5%
Total - Better 96 45,1% 211 76,7% 307 62,9% 123 54,4% 396 63,8% 519 61,3% 116 70,7% 574 84,4% 690 81,8% 335 55,6% 1181 74,9% 1516 69,6%
Total - Equal 83 39,0% 42 15,3% 125 25,6% 78 34,5% 173 27,9% 251 29,6% 37 22,6% 94 13,8% 131 15,5% 198 32,8% 309 19,6% 507 23,3%
Total - Worse 34 16,0% 22 8,0% 56 11,5% 25 11,1% 52 8,4% 77 9,1% 11 6,7% 12 1,8% 23 2,7% 70 11,6% 86 5,5% 156 7,2%

3.4.3 Check

Q3_1 Q3_2_1 Q3_2_2 Q3_2_3 Q3_2_4 Q3_2_5 Q3_2_6
1 55 13 23 31 35 49
2 11 34 143 243 120 36
3 8 25 88 297 317 57
4 8 13 18 86 85 29
5 5 6 6 13 71 38
6 7 6 5 13 12 173

3.4.4 Test of Statistical Significance

##               Df Sum Sq Mean Sq F value   Pr(>F)    
## Migration      2    169   84.44   40.13  < 2e-16 ***
## Gender         1     30   29.99   14.25 0.000164 ***
## Residuals   2175   4577    2.10                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = MHPSS_improve_points ~ ., data = data)
## 
## $Migration
##                                                      diff         lwr       upr     p adj
## Migrants from GER-Local Population              0.1218645 -0.07148436 0.3152134 0.3016042
## Migrants from third countries-Local Population  0.6409855  0.44751108 0.8344600 0.0000000
## Migrants from third countries-Migrants from GER 0.5191210  0.35365395 0.6845881 0.0000000
## 
## $Gender
##                 diff       lwr       upr     p adj
## Male-Female 0.256675 0.1204571 0.3928929 0.0002251

3.5 Beneficaries whose psychosocial situation has improved at least by one point

3.5.1 Average points of improvement of psychosocial situation

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Points of improvement 96 1,94 211 1,73 307 1,79 123 2,03 396 1,99 519 2 116 2,42 574 1,89 690 1,98 335 2,14 1.181 1,89 1.516 1,95

3.5.2 Improved: Ways how support has helped

3.5.2.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
It helped me to regain confidence and a sense of empowerment 74 33,8% 145 66,2% 219 100,0% 98 25,2% 291 74,8% 389 100,0% 95 18,4% 420 81,6% 515 100,0% 267 23,8% 856 76,2% 1123 100,0%
It helped me to better integrate into my community 46 30,7% 104 69,3% 150 100,0% 83 26,3% 232 73,7% 315 100,0% 79 19,9% 317 80,1% 396 100,0% 208 24,2% 653 75,8% 861 100,0%
It helped my children to better integrate into our community 7 58,3% 5 41,7% 12 100,0% 37 34,9% 69 65,1% 106 100,0% 37 38,1% 60 61,9% 97 100,0% 81 37,7% 134 62,3% 215 100,0%
It helped me manage stress and / or trauma 34 51,5% 32 48,5% 66 100,0% 62 27,8% 161 72,2% 223 100,0% 65 30,5% 148 69,5% 213 100,0% 161 32,1% 341 67,9% 502 100,0%
It helped to prepare me for my successful entry into the labor market 34 32,4% 71 67,6% 105 100,0% 60 25,5% 175 74,5% 235 100,0% 66 21,6% 240 78,4% 306 100,0% 160 24,8% 486 75,2% 646 100,0%
It helped me to find a permanent accommodation 2 50,0% 2 50,0% 4 100,0% 6 23,1% 20 76,9% 26 100,0% 11 44,0% 14 56,0% 25 100,0% 19 34,5% 36 65,5% 55 100,0%
It helped me to manage bureaucracy 7 58,3% 5 41,7% 12 100,0% 14 56,0% 11 44,0% 25 100,0% 8 53,3% 7 46,7% 15 100,0% 29 55,8% 23 44,2% 52 100,0%
Other 5 71,4% 2 28,6% 7 100,0% 9 18,8% 39 81,2% 48 100,0% 11 33,3% 22 66,7% 33 100,0% 25 28,4% 63 71,6% 88 100,0%

3.5.2.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
It helped me to regain confidence and a sense of empowerment 74 77,1% 145 68,7% 219 71,3% 98 79,7% 291 73,5% 389 75,0% 95 81,9% 420 73,2% 515 74,6% 267 79,7% 856 72,5% 1123 74,1%
It helped me to better integrate into my community 46 47,9% 104 49,3% 150 48,9% 83 67,5% 232 58,6% 315 60,7% 79 68,1% 317 55,2% 396 57,4% 208 62,1% 653 55,3% 861 56,8%
It helped my children to better integrate into our community 7 7,3% 5 2,4% 12 3,9% 37 30,1% 69 17,4% 106 20,4% 37 31,9% 60 10,5% 97 14,1% 81 24,2% 134 11,3% 215 14,2%
It helped me manage stress and / or trauma 34 35,4% 32 15,2% 66 21,5% 62 50,4% 161 40,7% 223 43,0% 65 56,0% 148 25,8% 213 30,9% 161 48,1% 341 28,9% 502 33,1%
It helped to prepare me for my successful entry into the labor market 34 35,4% 71 33,6% 105 34,2% 60 48,8% 175 44,2% 235 45,3% 66 56,9% 240 41,8% 306 44,3% 160 47,8% 486 41,2% 646 42,6%
It helped me to find a permanent accommodation 2 2,1% 2 0,9% 4 1,3% 6 4,9% 20 5,1% 26 5,0% 11 9,5% 14 2,4% 25 3,6% 19 5,7% 36 3,0% 55 3,6%
It helped me to manage bureaucracy 7 7,3% 5 2,4% 12 3,9% 14 11,4% 11 2,8% 25 4,8% 8 6,9% 7 1,2% 15 2,2% 29 8,7% 23 1,9% 52 3,4%
Other 5 5,2% 2 0,9% 7 2,3% 9 7,3% 39 9,8% 48 9,2% 11 9,5% 22 3,8% 33 4,8% 25 7,5% 63 5,3% 88 5,8%

3.5.2.3 Test of Statistical Significance

##                      Df Sum Sq Mean Sq F value   Pr(>F)    
## Migration             2    9.2    4.59   5.551  0.00396 ** 
## Gender                1   18.8   18.78  22.713 2.06e-06 ***
## Q3_3_statements__1    1   62.6   62.56  75.648  < 2e-16 ***
## Q3_3_statements__2    1   33.3   33.31  40.277 2.91e-10 ***
## Q3_3_statements__3    1   22.0   21.96  26.554 2.90e-07 ***
## Q3_3_statements__4    1   63.5   63.54  76.823  < 2e-16 ***
## Q3_3_statements__5    1   25.4   25.41  30.719 3.52e-08 ***
## Q3_3_statements__6    1    0.1    0.06   0.069  0.79253    
## Q3_3_statements__7    1    0.4    0.40   0.480  0.48874    
## Q3_3_statements__8    1   25.8   25.81  31.207 2.75e-08 ***
## Residuals          1504 1243.9    0.83                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = MHPSS_improve_points ~ ., data = data)
## 
## $Migration
##                                                        diff         lwr       upr     p adj
## Migrants from GER-Local Population               0.20521173  0.05159639 0.3588271 0.0049976
## Migrants from third countries-Local Population   0.18202332  0.03565359 0.3283931 0.0100135
## Migrants from third countries-Migrants from GER -0.02318841 -0.14715434 0.1007775 0.8993146
## 
## $Gender
##                   diff        lwr        upr   p adj
## Male-Female -0.2658903 -0.3763145 -0.1554661 2.5e-06
## 
## $Q3_3_statements__1
##          diff       lwr       upr p adj
## 1-0 0.4621368 0.3575865 0.5666872     0
## 
## $Q3_3_statements__2
##          diff       lwr       upr p adj
## 1-0 0.2932808 0.2007919 0.3857696     0
## 
## $Q3_3_statements__3
##          diff       lwr       upr p adj
## 1-0 0.3319774 0.2006505 0.4633043 8e-07
## 
## $Q3_3_statements__4
##          diff       lwr       upr p adj
## 1-0 0.4033848 0.3060338 0.5007359     0
## 
## $Q3_3_statements__5
##        diff      lwr       upr p adj
## 1-0 0.25323 0.160582 0.3458779 1e-07
## 
## $Q3_3_statements__6
##          diff       lwr       upr     p adj
## 1-0 0.0315541 -0.213468 0.2765762 0.8006051
## 
## $Q3_3_statements__7
##           diff        lwr       upr     p adj
## 1-0 0.08423802 -0.1674946 0.3359706 0.5116693
## 
## $Q3_3_statements__8
##          diff       lwr       upr p adj
## 1-0 0.5467365 0.3508041 0.7426689 1e-07

3.5.3 Improved: Rating of psychosocial support

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q3_4_1_HC_counseling_rate 15 5,33 15 4,47 30 4,90 21 4,00 32 4,34 53 4,21 17 5,12 16 4,69 33 4,91 53 4,74 63 4,46 116 4,59
Q3_4_10_legal_rate 13 4,46 9 4,33 22 4,41 15 3,80 20 4,35 35 4,11 9 4,78 15 3,93 24 4,25 37 4,27 44 4,20 81 4,23
Q3_4_11_other_rate 40 2,40 181 2,35 221 2,36 6 4,33 48 2,60 54 2,80 5 4,00 295 2,23 300 2,26 51 2,78 524 2,31 575 2,35
Q3_4_2_medical_rate 4 4,75 4 4,75 8 4,75 14 3,64 30 3,73 44 3,70 15 5,07 13 5,00 28 5,04 33 4,42 47 4,17 80 4,28
Q3_4_3_therapy_rate 13 5,38 16 4,38 29 4,83 23 4,70 51 4,73 74 4,72 28 5,36 20 5,00 48 5,21 64 5,12 87 4,72 151 4,89
Q3_4_4_accomodation_rate 5 3,20 5 2,20 10 2,70 15 3,60 40 4,68 55 4,38 14 4,86 8 5,88 22 5,23 34 4,06 53 4,62 87 4,40
Q3_4_5_labour_rate 34 4,59 12 5,08 46 4,72 43 4,21 111 4,28 154 4,26 39 4,82 71 4,56 110 4,65 116 4,53 194 4,43 310 4,47
Q3_4_6_language_rate 4 4,00 3 4,33 7 4,14 2 3,50 8 2,62 10 2,80 5 4,80 2 3,00 7 4,29 11 4,27 13 3,08 24 3,62
Q3_4_7_education_rate 7 4,00 5 4,80 12 4,33 6 5,17 25 4,64 31 4,74 19 5,26 11 5,55 30 5,37 32 4,97 41 4,90 73 4,93
Q3_4_8_childcare_rate 10 4,60 3 3,33 13 4,31 18 5,11 12 4,00 30 4,67 9 5,56 6 4,83 15 5,27 37 5,08 21 4,14 58 4,74
Q3_4_9_parenting_rate 9 4,78 3 3,67 12 4,50 13 5,00 7 4,00 20 4,65 12 5,50 6 6,00 18 5,67 34 5,12 16 4,69 50 4,98

3.5.3.1 Improve - Rating of services received: Q3_4_11_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 12 16,9% 59 83,1% 71 100,0% 1 8,3% 11 91,7% 12 100,0% – – 115 100,0% 115 100,0% 13 6,6% 185 93,4% 198 100,0%
3 28 18,7% 122 81,3% 150 100,0% 1 2,7% 36 97,3% 37 100,0% 3 1,7% 178 98,3% 181 100,0% 32 8,7% 336 91,3% 368 100,0%
4 – – – – – – – – – – – – – – 1 100,0% 1 100,0% – – 1 100,0% 1 100,0%
5 – – – – – – 2 100,0% – – 2 100,0% 1 100,0% – – 1 100,0% 3 100,0% – – 3 100,0%
6 – – – – – – 2 66,7% 1 33,3% 3 100,0% 1 50,0% 1 50,0% 2 100,0% 3 60,0% 2 40,0% 5 100,0%

3.5.3.2 Improve - Rating of services received: Q3_4_1_HC_counseling_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – 5 100,0% – – 5 100,0% – – – – – – 5 100,0% – – 5 100,0%
2 – – – – – – – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% 1 50,0% 1 50,0% 2 100,0%
3 1 100,0% – – 1 100,0% 3 30,0% 7 70,0% 10 100,0% – – 1 100,0% 1 100,0% 4 33,3% 8 66,7% 12 100,0%
4 3 23,1% 10 76,9% 13 100,0% 3 21,4% 11 78,6% 14 100,0% 4 36,4% 7 63,6% 11 100,0% 10 26,3% 28 73,7% 38 100,0%
5 1 25,0% 3 75,0% 4 100,0% 2 25,0% 6 75,0% 8 100,0% 3 42,9% 4 57,1% 7 100,0% 6 31,6% 13 68,4% 19 100,0%
6 10 83,3% 2 16,7% 12 100,0% 8 53,3% 7 46,7% 15 100,0% 9 69,2% 4 30,8% 13 100,0% 27 67,5% 13 32,5% 40 100,0%

3.5.3.3 Improve - Rating of services received: Q3_4_2_medical_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – 5 62,5% 3 37,5% 8 100,0% 1 100,0% – – 1 100,0% 6 66,7% 3 33,3% 9 100,0%
2 – – – – – – – – 3 100,0% 3 100,0% 1 100,0% – – 1 100,0% 1 25,0% 3 75,0% 4 100,0%
3 1 100,0% – – 1 100,0% 1 11,1% 8 88,9% 9 100,0% – – 2 100,0% 2 100,0% 2 16,7% 10 83,3% 12 100,0%
4 1 33,3% 2 66,7% 3 100,0% 2 25,0% 6 75,0% 8 100,0% – – 1 100,0% 1 100,0% 3 25,0% 9 75,0% 12 100,0%
5 – – 1 100,0% 1 100,0% 1 16,7% 5 83,3% 6 100,0% 5 50,0% 5 50,0% 10 100,0% 6 35,3% 11 64,7% 17 100,0%
6 2 66,7% 1 33,3% 3 100,0% 5 50,0% 5 50,0% 10 100,0% 8 61,5% 5 38,5% 13 100,0% 15 57,7% 11 42,3% 26 100,0%

3.5.3.4 Improve - Rating of services received: Q3_4_3_therapy_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – 2 66,7% 1 33,3% 3 100,0% – – – – – – 2 66,7% 1 33,3% 3 100,0%
3 – – 1 100,0% 1 100,0% 1 11,1% 8 88,9% 9 100,0% 2 50,0% 2 50,0% 4 100,0% 3 21,4% 11 78,6% 14 100,0%
4 3 23,1% 10 76,9% 13 100,0% 5 31,2% 11 68,8% 16 100,0% 2 33,3% 4 66,7% 6 100,0% 10 28,6% 25 71,4% 35 100,0%
5 2 40,0% 3 60,0% 5 100,0% 7 33,3% 14 66,7% 21 100,0% 8 57,1% 6 42,9% 14 100,0% 17 42,5% 23 57,5% 40 100,0%
6 8 80,0% 2 20,0% 10 100,0% 8 32,0% 17 68,0% 25 100,0% 16 66,7% 8 33,3% 24 100,0% 32 54,2% 27 45,8% 59 100,0%

3.5.3.5 Improve - Rating of services received: Q3_4_4_accomodation_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 40,0% 3 60,0% 5 100,0% 5 71,4% 2 28,6% 7 100,0% 2 100,0% – – 2 100,0% 9 64,3% 5 35,7% 14 100,0%
2 – – – – – – – – 1 100,0% 1 100,0% – – – – – – – – 1 100,0% 1 100,0%
3 – – 1 100,0% 1 100,0% 1 16,7% 5 83,3% 6 100,0% – – – – – – 1 14,3% 6 85,7% 7 100,0%
4 2 100,0% – – 2 100,0% 4 40,0% 6 60,0% 10 100,0% 2 100,0% – – 2 100,0% 8 57,1% 6 42,9% 14 100,0%
5 – – 1 100,0% 1 100,0% – – 12 100,0% 12 100,0% 2 66,7% 1 33,3% 3 100,0% 2 12,5% 14 87,5% 16 100,0%
6 1 100,0% – – 1 100,0% 5 26,3% 14 73,7% 19 100,0% 8 53,3% 7 46,7% 15 100,0% 14 40,0% 21 60,0% 35 100,0%

3.5.3.6 Improve - Rating of services received: Q3_4_5_labour_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 100,0% – – 2 100,0% 5 83,3% 1 16,7% 6 100,0% 1 50,0% 1 50,0% 2 100,0% 8 80,0% 2 20,0% 10 100,0%
2 2 66,7% 1 33,3% 3 100,0% 1 16,7% 5 83,3% 6 100,0% – – – – – – 3 33,3% 6 66,7% 9 100,0%
3 2 100,0% – – 2 100,0% 4 14,8% 23 85,2% 27 100,0% 2 20,0% 8 80,0% 10 100,0% 8 20,5% 31 79,5% 39 100,0%
4 6 85,7% 1 14,3% 7 100,0% 14 30,4% 32 69,6% 46 100,0% 11 33,3% 22 66,7% 33 100,0% 31 36,0% 55 64,0% 86 100,0%
5 12 70,6% 5 29,4% 17 100,0% 8 19,5% 33 80,5% 41 100,0% 13 31,0% 29 69,0% 42 100,0% 33 33,0% 67 67,0% 100 100,0%
6 10 66,7% 5 33,3% 15 100,0% 11 39,3% 17 60,7% 28 100,0% 12 52,2% 11 47,8% 23 100,0% 33 50,0% 33 50,0% 66 100,0%

3.5.3.7 Improve - Rating of services received: Q3_4_6_language_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 100,0% – – 1 100,0% 1 33,3% 2 66,7% 3 100,0% – – 1 100,0% 1 100,0% 2 40,0% 3 60,0% 5 100,0%
2 – – – – – – – – – – – – 1 100,0% – – 1 100,0% 1 100,0% – – 1 100,0%
3 – – 1 100,0% 1 100,0% – – 5 100,0% 5 100,0% – – – – – – – – 6 100,0% 6 100,0%
4 1 100,0% – – 1 100,0% – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% 2 66,7% 1 33,3% 3 100,0%
5 1 33,3% 2 66,7% 3 100,0% – – – – – – – – 1 100,0% 1 100,0% 1 25,0% 3 75,0% 4 100,0%
6 1 100,0% – – 1 100,0% 1 100,0% – – 1 100,0% 3 100,0% – – 3 100,0% 5 100,0% – – 5 100,0%

3.5.3.8 Improve - Rating of services received: Q3_4_7_education_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 100,0% – – 2 100,0% – – 1 100,0% 1 100,0% – – – – – – 2 66,7% 1 33,3% 3 100,0%
3 – – – – – – 1 20,0% 4 80,0% 5 100,0% 1 100,0% – – 1 100,0% 2 33,3% 4 66,7% 6 100,0%
4 – – 2 100,0% 2 100,0% – – 4 100,0% 4 100,0% 2 50,0% 2 50,0% 4 100,0% 2 20,0% 8 80,0% 10 100,0%
5 4 66,7% 2 33,3% 6 100,0% 2 18,2% 9 81,8% 11 100,0% 7 87,5% 1 12,5% 8 100,0% 13 52,0% 12 48,0% 25 100,0%
6 1 50,0% 1 50,0% 2 100,0% 3 30,0% 7 70,0% 10 100,0% 9 52,9% 8 47,1% 17 100,0% 13 44,8% 16 55,2% 29 100,0%

3.5.3.9 Improve - Rating of services received: Q3_4_8_childcare_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% 1 50,0% 1 50,0% 2 100,0% – – 1 100,0% 1 100,0% 3 50,0% 3 50,0% 6 100,0%
3 – – 1 100,0% 1 100,0% 1 20,0% 4 80,0% 5 100,0% – – – – – – 1 16,7% 5 83,3% 6 100,0%
4 1 100,0% – – 1 100,0% 2 40,0% 3 60,0% 5 100,0% 1 100,0% – – 1 100,0% 4 57,1% 3 42,9% 7 100,0%
5 2 100,0% – – 2 100,0% 4 80,0% 1 20,0% 5 100,0% 2 50,0% 2 50,0% 4 100,0% 8 72,7% 3 27,3% 11 100,0%
6 5 83,3% 1 16,7% 6 100,0% 10 76,9% 3 23,1% 13 100,0% 6 66,7% 3 33,3% 9 100,0% 21 75,0% 7 25,0% 28 100,0%

3.5.3.10 Improve - Rating of services received: Q3_4_9_parenting_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% 1 50,0% 1 50,0% 2 100,0% – – – – – – 3 60,0% 2 40,0% 5 100,0%
3 – – – – – – 1 25,0% 3 75,0% 4 100,0% – – – – – – 1 25,0% 3 75,0% 4 100,0%
4 – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% 2 100,0% – – 2 100,0% 3 75,0% 1 25,0% 4 100,0%
5 1 100,0% – – 1 100,0% 3 100,0% – – 3 100,0% 2 100,0% – – 2 100,0% 6 100,0% – – 6 100,0%
6 6 85,7% 1 14,3% 7 100,0% 7 70,0% 3 30,0% 10 100,0% 8 57,1% 6 42,9% 14 100,0% 21 67,7% 10 32,3% 31 100,0%

3.5.3.11 Improve - Rating of services received: Q3_4_10_legal_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 100,0% – – 3 100,0% 3 75,0% 1 25,0% 4 100,0% – – 3 100,0% 3 100,0% 6 60,0% 4 40,0% 10 100,0%
2 – – 1 100,0% 1 100,0% – – 2 100,0% 2 100,0% – – – – – – – – 3 100,0% 3 100,0%
3 1 33,3% 2 66,7% 3 100,0% 1 25,0% 3 75,0% 4 100,0% 1 50,0% 1 50,0% 2 100,0% 3 33,3% 6 66,7% 9 100,0%
4 – – 2 100,0% 2 100,0% 6 66,7% 3 33,3% 9 100,0% 4 40,0% 6 60,0% 10 100,0% 10 47,6% 11 52,4% 21 100,0%
5 2 66,7% 1 33,3% 3 100,0% 3 37,5% 5 62,5% 8 100,0% – – 1 100,0% 1 100,0% 5 41,7% 7 58,3% 12 100,0%
6 7 70,0% 3 30,0% 10 100,0% 2 25,0% 6 75,0% 8 100,0% 4 50,0% 4 50,0% 8 100,0% 13 50,0% 13 50,0% 26 100,0%

3.6 Beneficaries whose psychosocial situation is equal

3.6.1 Equal: Rating of psychosocial support

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q3_4_1_HC_counseling_rate 26 5,15 9 4,78 35 5,06 12 4,83 33 3,61 45 3,93 12 5,00 4 2,50 16 4,38 50 5,04 46 3,74 96 4,42
Q3_4_10_legal_rate 33 4,76 12 4,08 45 4,58 19 3,37 33 3,85 52 3,67 13 4,62 7 3,43 20 4,20 65 4,32 52 3,85 117 4,11
Q3_4_11_other_rate 4 4,50 4 2,75 8 3,62 3 3,00 5 3,40 8 3,25 3 2,33 6 2,00 9 2,11 10 3,40 15 2,67 25 2,96
Q3_4_2_medical_rate 20 5,35 8 4,75 28 5,18 9 4,78 25 3,64 34 3,94 10 5,30 3 4,33 13 5,08 39 5,21 36 3,94 75 4,60
Q3_4_3_therapy_rate 26 5,04 9 5,33 35 5,11 10 5,40 22 4,00 32 4,44 11 4,91 3 3,33 14 4,57 47 5,09 34 4,29 81 4,75
Q3_4_4_accomodation_rate 20 3,55 15 3,07 35 3,34 20 1,85 42 2,64 62 2,39 6 3,50 3 3,67 9 3,56 46 2,80 60 2,80 106 2,80
Q3_4_5_labour_rate 48 4,65 24 5,00 72 4,76 32 4,53 67 4,31 99 4,38 18 5,22 28 4,82 46 4,98 98 4,71 119 4,57 217 4,64
Q3_4_6_language_rate 17 4,59 7 4,43 24 4,54 5 4,00 14 4,00 19 4,00 4 4,75 1 4,00 5 4,60 26 4,50 22 4,14 48 4,33
Q3_4_7_education_rate 14 4,64 8 5,25 22 4,86 7 4,29 17 4,41 24 4,38 7 5,14 2 3,00 9 4,67 28 4,68 27 4,56 55 4,62
Q3_4_8_childcare_rate 21 4,33 7 4,14 28 4,29 16 4,25 19 4,16 35 4,20 9 4,78 4 2,75 13 4,15 46 4,39 30 3,97 76 4,22
Q3_4_9_parenting_rate 13 4,15 6 4,33 19 4,21 4 5,00 15 4,67 19 4,74 6 5,17 3 3,33 9 4,56 23 4,57 24 4,42 47 4,49

3.6.1.1 Equal - Rating of services received: Q3_4_11_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – 1 100,0% 1 100,0% – – 2 100,0% 2 100,0% 1 20,0% 4 80,0% 5 100,0% 1 12,5% 7 87,5% 8 100,0%
2 – – – – – – 1 100,0% – – 1 100,0% – – – – – – 1 100,0% – – 1 100,0%
3 2 50,0% 2 50,0% 4 100,0% 1 100,0% – – 1 100,0% 2 66,7% 1 33,3% 3 100,0% 5 62,5% 3 37,5% 8 100,0%
4 – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% – – – – – – 1 50,0% 1 50,0% 2 100,0%
5 – – – – – – – – 3 100,0% 3 100,0% – – 1 100,0% 1 100,0% – – 4 100,0% 4 100,0%
6 2 100,0% – – 2 100,0% – – – – – – – – – – – – 2 100,0% – – 2 100,0%

3.6.1.2 Equal - Rating of services received: Q3_4_1_HC_counseling_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 50,0% 1 50,0% 2 100,0% – – 7 100,0% 7 100,0% 1 50,0% 1 50,0% 2 100,0% 2 18,2% 9 81,8% 11 100,0%
2 – – – – – – 1 20,0% 4 80,0% 5 100,0% – – 1 100,0% 1 100,0% 1 16,7% 5 83,3% 6 100,0%
3 1 50,0% 1 50,0% 2 100,0% 1 14,3% 6 85,7% 7 100,0% 1 50,0% 1 50,0% 2 100,0% 3 27,3% 8 72,7% 11 100,0%
4 2 66,7% 1 33,3% 3 100,0% 2 100,0% – – 2 100,0% 2 66,7% 1 33,3% 3 100,0% 6 75,0% 2 25,0% 8 100,0%
5 10 90,9% 1 9,1% 11 100,0% 3 23,1% 10 76,9% 13 100,0% – – – – – – 13 54,2% 11 45,8% 24 100,0%
6 12 70,6% 5 29,4% 17 100,0% 5 45,5% 6 54,5% 11 100,0% 8 100,0% – – 8 100,0% 25 69,4% 11 30,6% 36 100,0%

3.6.1.3 Equal - Rating of services received: Q3_4_2_medical_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – 1 100,0% 1 100,0% 1 20,0% 4 80,0% 5 100,0% 1 100,0% – – 1 100,0% 2 28,6% 5 71,4% 7 100,0%
2 – – – – – – 1 20,0% 4 80,0% 5 100,0% – – – – – – 1 20,0% 4 80,0% 5 100,0%
3 – – – – – – – – 3 100,0% 3 100,0% – – – – – – – – 3 100,0% 3 100,0%
4 3 75,0% 1 25,0% 4 100,0% – – 5 100,0% 5 100,0% 1 33,3% 2 66,7% 3 100,0% 4 33,3% 8 66,7% 12 100,0%
5 7 70,0% 3 30,0% 10 100,0% 2 33,3% 4 66,7% 6 100,0% – – 1 100,0% 1 100,0% 9 52,9% 8 47,1% 17 100,0%
6 10 76,9% 3 23,1% 13 100,0% 5 50,0% 5 50,0% 10 100,0% 8 100,0% – – 8 100,0% 23 74,2% 8 25,8% 31 100,0%

3.6.1.4 Equal - Rating of services received: Q3_4_3_therapy_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 100,0% – – 1 100,0% – – 2 100,0% 2 100,0% 1 100,0% – – 1 100,0% 2 50,0% 2 50,0% 4 100,0%
2 – – – – – – – – 4 100,0% 4 100,0% – – 1 100,0% 1 100,0% – – 5 100,0% 5 100,0%
3 2 100,0% – – 2 100,0% – – 3 100,0% 3 100,0% 1 50,0% 1 50,0% 2 100,0% 3 42,9% 4 57,1% 7 100,0%
4 5 71,4% 2 28,6% 7 100,0% 2 50,0% 2 50,0% 4 100,0% 2 100,0% – – 2 100,0% 9 69,2% 4 30,8% 13 100,0%
5 4 66,7% 2 33,3% 6 100,0% 2 28,6% 5 71,4% 7 100,0% – – 1 100,0% 1 100,0% 6 42,9% 8 57,1% 14 100,0%
6 14 73,7% 5 26,3% 19 100,0% 6 50,0% 6 50,0% 12 100,0% 7 100,0% – – 7 100,0% 27 71,1% 11 28,9% 38 100,0%

3.6.1.5 Equal - Rating of services received: Q3_4_4_accomodation_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 7 50,0% 7 50,0% 14 100,0% 13 40,6% 19 59,4% 32 100,0% 3 75,0% 1 25,0% 4 100,0% 23 46,0% 27 54,0% 50 100,0%
2 1 100,0% – – 1 100,0% 3 42,9% 4 57,1% 7 100,0% – – – – – – 4 50,0% 4 50,0% 8 100,0%
3 2 50,0% 2 50,0% 4 100,0% 1 14,3% 6 85,7% 7 100,0% – – – – – – 3 27,3% 8 72,7% 11 100,0%
4 1 100,0% – – 1 100,0% 1 20,0% 4 80,0% 5 100,0% – – 1 100,0% 1 100,0% 2 28,6% 5 71,4% 7 100,0%
5 2 40,0% 3 60,0% 5 100,0% 1 20,0% 4 80,0% 5 100,0% – – – – – – 3 30,0% 7 70,0% 10 100,0%
6 7 70,0% 3 30,0% 10 100,0% 1 16,7% 5 83,3% 6 100,0% 3 75,0% 1 25,0% 4 100,0% 11 55,0% 9 45,0% 20 100,0%

3.6.1.6 Equal - Rating of services received: Q3_4_5_labour_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% 4 33,3% 8 66,7% 12 100,0% – – 1 100,0% 1 100,0% 6 37,5% 10 62,5% 16 100,0%
2 2 66,7% 1 33,3% 3 100,0% 1 14,3% 6 85,7% 7 100,0% 1 100,0% – – 1 100,0% 4 36,4% 7 63,6% 11 100,0%
3 6 85,7% 1 14,3% 7 100,0% 3 33,3% 6 66,7% 9 100,0% – – 4 100,0% 4 100,0% 9 45,0% 11 55,0% 20 100,0%
4 7 63,6% 4 36,4% 11 100,0% 6 37,5% 10 62,5% 16 100,0% 4 44,4% 5 55,6% 9 100,0% 17 47,2% 19 52,8% 36 100,0%
5 15 78,9% 4 21,1% 19 100,0% 2 15,4% 11 84,6% 13 100,0% 2 25,0% 6 75,0% 8 100,0% 19 47,5% 21 52,5% 40 100,0%
6 16 55,2% 13 44,8% 29 100,0% 16 38,1% 26 61,9% 42 100,0% 11 47,8% 12 52,2% 23 100,0% 43 45,7% 51 54,3% 94 100,0%

3.6.1.7 Equal - Rating of services received: Q3_4_6_language_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% 1 33,3% 2 66,7% 3 100,0% 1 100,0% – – 1 100,0% 4 57,1% 3 42,9% 7 100,0%
2 – – – – – – – – 1 100,0% 1 100,0% – – – – – – – – 1 100,0% 1 100,0%
3 – – – – – – 1 33,3% 2 66,7% 3 100,0% – – – – – – 1 33,3% 2 66,7% 3 100,0%
4 6 75,0% 2 25,0% 8 100,0% 1 33,3% 2 66,7% 3 100,0% – – 1 100,0% 1 100,0% 7 58,3% 5 41,7% 12 100,0%
5 2 50,0% 2 50,0% 4 100,0% – – 4 100,0% 4 100,0% – – – – – – 2 25,0% 6 75,0% 8 100,0%
6 7 77,8% 2 22,2% 9 100,0% 2 40,0% 3 60,0% 5 100,0% 3 100,0% – – 3 100,0% 12 70,6% 5 29,4% 17 100,0%

3.6.1.8 Equal - Rating of services received: Q3_4_7_education_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 100,0% – – 2 100,0% 2 66,7% 1 33,3% 3 100,0% 1 100,0% – – 1 100,0% 5 83,3% 1 16,7% 6 100,0%
2 – – – – – – – – 3 100,0% 3 100,0% – – – – – – – – 3 100,0% 3 100,0%
3 – – – – – – – – 1 100,0% 1 100,0% – – 2 100,0% 2 100,0% – – 3 100,0% 3 100,0%
4 3 60,0% 2 40,0% 5 100,0% 1 100,0% – – 1 100,0% – – – – – – 4 66,7% 2 33,3% 6 100,0%
5 3 60,0% 2 40,0% 5 100,0% – – 7 100,0% 7 100,0% 1 100,0% – – 1 100,0% 4 30,8% 9 69,2% 13 100,0%
6 6 60,0% 4 40,0% 10 100,0% 4 44,4% 5 55,6% 9 100,0% 5 100,0% – – 5 100,0% 15 62,5% 9 37,5% 24 100,0%

3.6.1.9 Equal - Rating of services received: Q3_4_8_childcare_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 75,0% 1 25,0% 4 100,0% 2 50,0% 2 50,0% 4 100,0% 1 33,3% 2 66,7% 3 100,0% 6 54,5% 5 45,5% 11 100,0%
2 1 100,0% – – 1 100,0% 2 50,0% 2 50,0% 4 100,0% 1 100,0% – – 1 100,0% 4 66,7% 2 33,3% 6 100,0%
3 2 66,7% 1 33,3% 3 100,0% 3 60,0% 2 40,0% 5 100,0% – – – – – – 5 62,5% 3 37,5% 8 100,0%
4 2 50,0% 2 50,0% 4 100,0% – – 3 100,0% 3 100,0% 1 50,0% 1 50,0% 2 100,0% 3 33,3% 6 66,7% 9 100,0%
5 6 85,7% 1 14,3% 7 100,0% 1 16,7% 5 83,3% 6 100,0% – – 1 100,0% 1 100,0% 7 50,0% 7 50,0% 14 100,0%
6 7 77,8% 2 22,2% 9 100,0% 8 61,5% 5 38,5% 13 100,0% 6 100,0% – – 6 100,0% 21 75,0% 7 25,0% 28 100,0%

3.6.1.10 Equal - Rating of services received: Q3_4_9_parenting_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% – – – – – – 1 50,0% 1 50,0% 2 100,0% 3 60,0% 2 40,0% 5 100,0%
2 – – – – – – 1 33,3% 2 66,7% 3 100,0% – – – – – – 1 33,3% 2 66,7% 3 100,0%
3 2 100,0% – – 2 100,0% – – 1 100,0% 1 100,0% – – – – – – 2 66,7% 1 33,3% 3 100,0%
4 3 60,0% 2 40,0% 5 100,0% – – 2 100,0% 2 100,0% – – 1 100,0% 1 100,0% 3 37,5% 5 62,5% 8 100,0%
5 2 66,7% 1 33,3% 3 100,0% – – 5 100,0% 5 100,0% – – 1 100,0% 1 100,0% 2 22,2% 7 77,8% 9 100,0%
6 4 66,7% 2 33,3% 6 100,0% 3 37,5% 5 62,5% 8 100,0% 5 100,0% – – 5 100,0% 12 63,2% 7 36,8% 19 100,0%

3.6.1.11 Equal - Rating of services received: Q3_4_10_legal_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 50,0% 2 50,0% 4 100,0% 5 55,6% 4 44,4% 9 100,0% 1 33,3% 2 66,7% 3 100,0% 8 50,0% 8 50,0% 16 100,0%
2 1 100,0% – – 1 100,0% 3 42,9% 4 57,1% 7 100,0% 3 75,0% 1 25,0% 4 100,0% 7 58,3% 5 41,7% 12 100,0%
3 2 40,0% 3 60,0% 5 100,0% 3 37,5% 5 62,5% 8 100,0% – – 1 100,0% 1 100,0% 5 35,7% 9 64,3% 14 100,0%
4 6 75,0% 2 25,0% 8 100,0% 2 25,0% 6 75,0% 8 100,0% – – – – – – 8 50,0% 8 50,0% 16 100,0%
5 9 100,0% – – 9 100,0% – – 8 100,0% 8 100,0% 1 50,0% 1 50,0% 2 100,0% 10 52,6% 9 47,4% 19 100,0%
6 13 72,2% 5 27,8% 18 100,0% 6 50,0% 6 50,0% 12 100,0% 8 80,0% 2 20,0% 10 100,0% 27 67,5% 13 32,5% 40 100,0%

3.7 Beneficaries whose psychosocial situation get worse

3.7.1 Get worse: Rating of psychosocial support

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q3_4_1_HC_counseling_rate 7 5,43 6 5,50 13 5,46 3 5,00 8 2,62 11 3,27 2 4,5 2 5,50 4 5,00 12 5,17 16 4,06 28 4,54
Q3_4_10_legal_rate 13 5,23 7 5,14 20 5,20 13 5,08 19 5,05 32 5,06 5 5,6 3 5,67 8 5,62 31 5,23 29 5,14 60 5,18
Q3_4_11_other_rate 7 4,71 3 6,00 10 5,10 4 5,25 4 4,75 8 5,00 – – 2 3,50 2 3,50 11 4,91 9 4,89 20 4,90
Q3_4_2_medical_rate 8 5,75 7 5,00 15 5,40 2 5,00 8 2,62 10 3,10 2 4,5 2 5,50 4 5,00 12 5,42 17 3,94 29 4,55
Q3_4_3_therapy_rate 5 5,80 2 5,00 7 5,57 6 5,00 7 3,43 13 4,15 1 4,0 1 3,00 2 3,50 12 5,25 10 3,70 22 4,55
Q3_4_4_accomodation_rate 10 3,70 7 3,57 17 3,65 11 4,27 28 4,43 39 4,38 3 6,0 4 4,25 7 5,00 24 4,25 39 4,26 63 4,25
Q3_4_5_labour_rate 20 4,85 11 5,36 31 5,03 10 4,40 17 4,71 27 4,59 3 5,0 6 3,67 9 4,11 33 4,73 34 4,74 67 4,73
Q3_4_6_language_rate 4 4,75 3 5,00 7 4,86 2 4,50 5 2,80 7 3,29 – – 1 3,00 1 3,00 6 4,67 9 3,56 15 4,00
Q3_4_7_education_rate 4 5,25 1 5,00 5 5,20 4 4,25 5 2,80 9 3,44 – – – – – – 8 4,75 6 3,17 14 4,07
Q3_4_8_childcare_rate 9 4,89 5 4,40 14 4,71 13 5,54 12 4,58 25 5,08 2 5,5 5 4,60 7 4,86 24 5,29 22 4,55 46 4,93
Q3_4_9_parenting_rate 2 4,50 1 5,00 3 4,67 3 3,67 2 3,00 5 3,40 1 5,0 1 6,00 2 5,50 6 4,17 4 4,25 10 4,20

3.7.1.1 Get worse: Rating of services received: Q3_4_11_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 100,0% – – 1 100,0% – – 1 100,0% 1 100,0% – – 1 100,0% 1 100,0% 1 33,3% 2 66,7% 3 100,0%
3 1 100,0% – – 1 100,0% 1 100,0% – – 1 100,0% – – – – – – 2 100,0% – – 2 100,0%
5 1 100,0% – – 1 100,0% – – – – – – – – – – – – 1 100,0% – – 1 100,0%
6 4 57,1% 3 42,9% 7 100,0% 3 50,0% 3 50,0% 6 100,0% – – 1 100,0% 1 100,0% 7 50,0% 7 50,0% 14 100,0%

3.7.1.2 Get worse: Rating of services received: Q3_4_1_HC_counseling_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – – – 3 100,0% 3 100,0% – – – – – – – – 3 100,0% 3 100,0%
2 – – – – – – – – 2 100,0% 2 100,0% – – – – – – – – 2 100,0% 2 100,0%
3 – – – – – – – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% 1 50,0% 1 50,0% 2 100,0%
4 1 50,0% 1 50,0% 2 100,0% 1 100,0% – – 1 100,0% – – – – – – 2 66,7% 1 33,3% 3 100,0%
5 2 66,7% 1 33,3% 3 100,0% 1 50,0% 1 50,0% 2 100,0% – – 1 100,0% 1 100,0% 3 50,0% 3 50,0% 6 100,0%
6 4 50,0% 4 50,0% 8 100,0% 1 50,0% 1 50,0% 2 100,0% 1 50,0% 1 50,0% 2 100,0% 6 50,0% 6 50,0% 12 100,0%

3.7.1.3 Get worse: Rating of services received: Q3_4_2_medical_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – – – 3 100,0% 3 100,0% – – – – – – – – 3 100,0% 3 100,0%
2 – – – – – – – – 2 100,0% 2 100,0% – – – – – – – – 2 100,0% 2 100,0%
3 – – 1 100,0% 1 100,0% – – 1 100,0% 1 100,0% 1 100,0% – – 1 100,0% 1 33,3% 2 66,7% 3 100,0%
4 1 33,3% 2 66,7% 3 100,0% – – – – – – – – – – – – 1 33,3% 2 66,7% 3 100,0%
5 – – – – – – 2 66,7% 1 33,3% 3 100,0% – – 1 100,0% 1 100,0% 2 50,0% 2 50,0% 4 100,0%
6 7 63,6% 4 36,4% 11 100,0% – – 1 100,0% 1 100,0% 1 50,0% 1 50,0% 2 100,0% 8 57,1% 6 42,9% 14 100,0%

3.7.1.4 Get worse: Rating of services received: Q3_4_3_therapy_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – – – 1 100,0% 1 100,0% – – – – – – – – 1 100,0% 1 100,0%
3 – – – – – – – – 3 100,0% 3 100,0% – – 1 100,0% 1 100,0% – – 4 100,0% 4 100,0%
4 – – 1 100,0% 1 100,0% 2 50,0% 2 50,0% 4 100,0% 1 100,0% – – 1 100,0% 3 50,0% 3 50,0% 6 100,0%
5 1 100,0% – – 1 100,0% 2 100,0% – – 2 100,0% – – – – – – 3 100,0% – – 3 100,0%
6 4 80,0% 1 20,0% 5 100,0% 2 66,7% 1 33,3% 3 100,0% – – – – – – 6 75,0% 2 25,0% 8 100,0%

3.7.1.5 Get worse: Rating of services received: Q3_4_4_accomodation_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 50,0% 3 50,0% 6 100,0% 2 40,0% 3 60,0% 5 100,0% – – – – – – 5 45,5% 6 54,5% 11 100,0%
2 – – – – – – 1 33,3% 2 66,7% 3 100,0% – – – – – – 1 33,3% 2 66,7% 3 100,0%
3 1 100,0% – – 1 100,0% 1 25,0% 3 75,0% 4 100,0% – – 2 100,0% 2 100,0% 2 28,6% 5 71,4% 7 100,0%
4 2 66,7% 1 33,3% 3 100,0% 1 20,0% 4 80,0% 5 100,0% – – – – – – 3 37,5% 5 62,5% 8 100,0%
5 1 100,0% – – 1 100,0% – – 4 100,0% 4 100,0% – – 1 100,0% 1 100,0% 1 16,7% 5 83,3% 6 100,0%
6 3 50,0% 3 50,0% 6 100,0% 6 33,3% 12 66,7% 18 100,0% 3 75,0% 1 25,0% 4 100,0% 12 42,9% 16 57,1% 28 100,0%

3.7.1.6 Get worse: Rating of services received: Q3_4_5_labour_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 1 100,0% – – 1 100,0% 1 33,3% 2 66,7% 3 100,0% – – – – – – 2 50,0% 2 50,0% 4 100,0%
2 1 100,0% – – 1 100,0% – – 1 100,0% 1 100,0% – – 1 100,0% 1 100,0% 1 33,3% 2 66,7% 3 100,0%
3 1 50,0% 1 50,0% 2 100,0% 2 50,0% 2 50,0% 4 100,0% – – 2 100,0% 2 100,0% 3 37,5% 5 62,5% 8 100,0%
4 3 75,0% 1 25,0% 4 100,0% 2 100,0% – – 2 100,0% 1 50,0% 1 50,0% 2 100,0% 6 75,0% 2 25,0% 8 100,0%
5 5 71,4% 2 28,6% 7 100,0% 1 33,3% 2 66,7% 3 100,0% 1 33,3% 2 66,7% 3 100,0% 7 53,8% 6 46,2% 13 100,0%
6 9 56,2% 7 43,8% 16 100,0% 4 28,6% 10 71,4% 14 100,0% 1 100,0% – – 1 100,0% 14 45,2% 17 54,8% 31 100,0%

3.7.1.7 Get worse: Rating of services received: Q3_4_6_language_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – – – 3 100,0% 3 100,0% – – – – – – – – 3 100,0% 3 100,0%
3 1 100,0% – – 1 100,0% – – – – – – – – 1 100,0% 1 100,0% 1 50,0% 1 50,0% 2 100,0%
4 1 50,0% 1 50,0% 2 100,0% 1 100,0% – – 1 100,0% – – – – – – 2 66,7% 1 33,3% 3 100,0%
5 – – 1 100,0% 1 100,0% 1 50,0% 1 50,0% 2 100,0% – – – – – – 1 33,3% 2 66,7% 3 100,0%
6 2 66,7% 1 33,3% 3 100,0% – – 1 100,0% 1 100,0% – – – – – – 2 50,0% 2 50,0% 4 100,0%

3.7.1.8 Get worse: Rating of services received: Q3_4_7_education_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – – – – – 1 25,0% 3 75,0% 4 100,0% – – – – – – 1 25,0% 3 75,0% 4 100,0%
3 1 100,0% – – 1 100,0% – – – – – – – – – – – – 1 100,0% – – 1 100,0%
4 – – – – – – 1 100,0% – – 1 100,0% – – – – – – 1 100,0% – – 1 100,0%
5 – – 1 100,0% 1 100,0% – – 1 100,0% 1 100,0% – – – – – – – – 2 100,0% 2 100,0%
6 3 100,0% – – 3 100,0% 2 66,7% 1 33,3% 3 100,0% – – – – – – 5 83,3% 1 16,7% 6 100,0%

3.7.1.9 Get worse: Rating of services received: Q3_4_8_childcare_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – 1 100,0% 1 100,0% – – 2 100,0% 2 100,0% – – – – – – – – 3 100,0% 3 100,0%
2 – – – – – – – – – – – – – – 1 100,0% 1 100,0% – – 1 100,0% 1 100,0%
3 2 66,7% 1 33,3% 3 100,0% – – 2 100,0% 2 100,0% – – 1 100,0% 1 100,0% 2 33,3% 4 66,7% 6 100,0%
4 2 100,0% – – 2 100,0% 2 100,0% – – 2 100,0% – – – – – – 4 100,0% – – 4 100,0%
5 – – – – – – 2 66,7% 1 33,3% 3 100,0% 1 100,0% – – 1 100,0% 3 75,0% 1 25,0% 4 100,0%
6 5 62,5% 3 37,5% 8 100,0% 9 56,2% 7 43,8% 16 100,0% 1 25,0% 3 75,0% 4 100,0% 15 53,6% 13 46,4% 28 100,0%

3.7.1.10 Get worse: Rating of services received: Q3_4_9_parenting_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
2 – – – – – – – – 1 100,0% 1 100,0% – – – – – – – – 1 100,0% 1 100,0%
3 1 100,0% – – 1 100,0% 1 100,0% – – 1 100,0% – – – – – – 2 100,0% – – 2 100,0%
4 – – – – – – 2 66,7% 1 33,3% 3 100,0% – – – – – – 2 66,7% 1 33,3% 3 100,0%
5 – – 1 100,0% 1 100,0% – – – – – – 1 100,0% – – 1 100,0% 1 50,0% 1 50,0% 2 100,0%
6 1 100,0% – – 1 100,0% – – – – – – – – 1 100,0% 1 100,0% 1 50,0% 1 50,0% 2 100,0%

4 M3 Employment

4.1 Beneficiaries who are working

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
0 367 59,7% 248 40,3% 615 100,0% 105 38,7% 166 61,3% 271 100,0% 46 41,4% 65 58,6% 111 100,0% 518 52,0% 479 48,0% 997 100,0%
1 908 54,1% 771 45,9% 1679 100,0% 189 22,8% 640 77,2% 829 100,0% 176 19,5% 726 80,5% 902 100,0% 1273 37,3% 2137 62,7% 3410 100,0%

4.2 Beneficiaries who are working with breakdown by measures that had an effect

4.2.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
0 212 55,8% 168 44,2% 380 100,0% 41 29,9% 96 70,1% 137 100,0% 24 28,6% 60 71,4% 84 100,0% 277 46,1% 324 53,9% 601 100,0%
1 696 53,6% 603 46,4% 1299 100,0% 148 21,4% 544 78,6% 692 100,0% 152 18,6% 666 81,4% 818 100,0% 996 35,5% 1813 64,5% 2809 100,0%

4.2.1.1 Test of Statistical Significance

## [1] "Migration Status"
## 
##    Cell Contents
## |-------------------------|
## |                   Count |
## | Chi-square contribution |
## |             Row Percent |
## |          Column Percent |
## |           Total Percent |
## |-------------------------|
## 
## Total Observations in Table:  3410 
## 
##                               | data$Q1_12 
##                data$Migration |        0  |        1  | Row Total | 
## ------------------------------|-----------|-----------|-----------|
##              Local Population |      380  |     1299  |     1679  | 
##                               |   23.891  |    5.112  |           | 
##                               |   22.633% |   77.367% |   49.238% | 
##                               |   63.228% |   46.244% |           | 
##                               |   11.144% |   38.094% |           | 
## ------------------------------|-----------|-----------|-----------|
##             Migrants from GER |      137  |      692  |      829  | 
##                               |    0.568  |    0.121  |           | 
##                               |   16.526% |   83.474% |   24.311% | 
##                               |   22.795% |   24.635% |           | 
##                               |    4.018% |   20.293% |           | 
## ------------------------------|-----------|-----------|-----------|
## Migrants from third countries |       84  |      818  |      902  | 
##                               |   35.359  |    7.565  |           | 
##                               |    9.313% |   90.687% |   26.452% | 
##                               |   13.977% |   29.121% |           | 
##                               |    2.463% |   23.988% |           | 
## ------------------------------|-----------|-----------|-----------|
##                  Column Total |      601  |     2809  |     3410  | 
##                               |   17.625% |   82.375% |           | 
## ------------------------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  72.61617     d.f. =  2     p =  1.704511e-16 
## 
## 
##  
##        Minimum expected frequency: 146.1082 
## 
## NULL
## [1] "Gender"
## 
##    Cell Contents
## |-------------------------|
## |                   Count |
## | Chi-square contribution |
## |             Row Percent |
## |          Column Percent |
## |           Total Percent |
## |-------------------------|
## 
## Total Observations in Table:  3410 
## 
##              | data$Q1_12 
##  data$Gender |        0  |        1  | Row Total | 
## -------------|-----------|-----------|-----------|
##       Female |      277  |      996  |     1273  | 
##              |   12.350  |    2.642  |           | 
##              |   21.760% |   78.240% |   37.331% | 
##              |   46.090% |   35.457% |           | 
##              |    8.123% |   29.208% |           | 
## -------------|-----------|-----------|-----------|
##         Male |      324  |     1813  |     2137  | 
##              |    7.357  |    1.574  |           | 
##              |   15.161% |   84.839% |   62.669% | 
##              |   53.910% |   64.543% |           | 
##              |    9.501% |   53.167% |           | 
## -------------|-----------|-----------|-----------|
## Column Total |      601  |     2809  |     3410  | 
##              |   17.625% |   82.375% |           | 
## -------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  23.92267     d.f. =  1     p =  1.002839e-06 
## 
## Pearson's Chi-squared test with Yates' continuity correction 
## ------------------------------------------------------------
## Chi^2 =  23.47036     d.f. =  1     p =  1.268534e-06 
## 
##  
##        Minimum expected frequency: 224.3616 
## 
## NULL

4.3 Measures that had an effect

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q1_13_coaching 179 5,03 125 4,90 304 4,98 29 5,00 63 4,65 92 4,76 37 5,38 30 5,03 67 5,22 245 5,08 218 4,84 463 4,97
Q1_13_counseling 262 4,83 363 4,85 625 4,84 114 4,66 413 4,42 527 4,47 119 4,76 613 4,37 732 4,43 495 4,77 1.389 4,51 1.884 4,58
Q1_13_guidance 440 5,08 445 4,97 885 5,02 53 5,00 177 4,55 230 4,65 70 5,26 404 4,53 474 4,64 563 5,09 1.026 4,73 1.589 4,86
Q1_13_ltskills 289 5,13 202 5,04 491 5,09 34 4,91 81 4,89 115 4,90 25 5,56 80 4,92 105 5,08 348 5,14 363 4,98 711 5,06
Q1_13_pss 52 4,83 40 4,47 92 4,67 34 4,79 110 4,49 144 4,56 50 5,38 59 4,90 109 5,12 136 5,02 209 4,60 345 4,77
Q1_13_reintegration 53 4,58 190 4,96 243 4,88 103 4,61 412 4,48 515 4,50 108 4,83 590 4,48 698 4,53 264 4,70 1.192 4,55 1.456 4,58
Q1_13_startup 541 5,18 429 5,09 970 5,14 117 4,65 429 4,64 546 4,64 116 4,93 541 4,48 657 4,56 774 5,06 1.399 4,71 2.173 4,84
Q1_13_stskills 405 5,23 435 5,18 840 5,20 63 5,37 207 4,89 270 5,00 77 5,38 356 4,76 433 4,87 545 5,27 998 4,97 1.543 5,08

4.3.1 Rating of services received: Q1_13_guidance

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 7 87,5% 1 12,5% 8 100,0% 2 22,2% 7 77,8% 9 100,0% – – 3 100,0% 3 100,0% 9 45,0% 11 55,0% 20 100,0%
3 21 50,0% 21 50,0% 42 100,0% 3 10,7% 25 89,3% 28 100,0% 1 2,8% 35 97,2% 36 100,0% 25 23,6% 81 76,4% 106 100,0%
4 79 36,7% 136 63,3% 215 100,0% 9 17,3% 43 82,7% 52 100,0% 10 5,2% 182 94,8% 192 100,0% 98 21,4% 361 78,6% 459 100,0%
5 150 56,2% 117 43,8% 267 100,0% 16 20,8% 61 79,2% 77 100,0% 29 20,9% 110 79,1% 139 100,0% 195 40,4% 288 59,6% 483 100,0%
6 183 51,8% 170 48,2% 353 100,0% 23 35,9% 41 64,1% 64 100,0% 30 28,8% 74 71,2% 104 100,0% 236 45,3% 285 54,7% 521 100,0%

4.3.2 Rating of services received: Q1_13_stskills

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% 1 50,0% 1 50,0% 2 100,0% 1 50,0% 1 50,0% 2 100,0% 4 57,1% 3 42,9% 7 100,0%
2 1 100,0% – – 1 100,0% – – 1 100,0% 1 100,0% – – 2 100,0% 2 100,0% 1 25,0% 3 75,0% 4 100,0%
3 22 64,7% 12 35,3% 34 100,0% – – 19 100,0% 19 100,0% 1 4,5% 21 95,5% 22 100,0% 23 30,7% 52 69,3% 75 100,0%
4 63 40,6% 92 59,4% 155 100,0% 7 12,7% 48 87,3% 55 100,0% 10 8,2% 112 91,8% 122 100,0% 80 24,1% 252 75,9% 332 100,0%
5 106 44,7% 131 55,3% 237 100,0% 21 23,9% 67 76,1% 88 100,0% 20 12,3% 142 87,7% 162 100,0% 147 30,2% 340 69,8% 487 100,0%
6 211 51,5% 199 48,5% 410 100,0% 34 32,4% 71 67,6% 105 100,0% 45 36,6% 78 63,4% 123 100,0% 290 45,5% 348 54,5% 638 100,0%

4.3.3 Rating of services received: Q1_13_ltskills

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 4 44,4% 5 55,6% 9 100,0% 1 50,0% 1 50,0% 2 100,0% 1 100,0% – – 1 100,0% 6 50,0% 6 50,0% 12 100,0%
2 – – – – – – 1 50,0% 1 50,0% 2 100,0% – – 1 100,0% 1 100,0% 1 33,3% 2 66,7% 3 100,0%
3 7 50,0% 7 50,0% 14 100,0% 2 22,2% 7 77,8% 9 100,0% – – 1 100,0% 1 100,0% 9 37,5% 15 62,5% 24 100,0%
4 64 59,8% 43 40,2% 107 100,0% 7 29,2% 17 70,8% 24 100,0% – – 24 100,0% 24 100,0% 71 45,8% 84 54,2% 155 100,0%
5 82 56,9% 62 43,1% 144 100,0% 8 23,5% 26 76,5% 34 100,0% 6 16,2% 31 83,8% 37 100,0% 96 44,7% 119 55,3% 215 100,0%
6 132 60,8% 85 39,2% 217 100,0% 15 34,1% 29 65,9% 44 100,0% 18 43,9% 23 56,1% 41 100,0% 165 54,6% 137 45,4% 302 100,0%

4.3.4 Rating of services received: Q1_13_counseling

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 11 68,8% 5 31,2% 16 100,0% 2 18,2% 9 81,8% 11 100,0% 2 14,3% 12 85,7% 14 100,0% 15 36,6% 26 63,4% 41 100,0%
2 2 100,0% – – 2 100,0% 1 50,0% 1 50,0% 2 100,0% – – 2 100,0% 2 100,0% 3 50,0% 3 50,0% 6 100,0%
3 15 40,5% 22 59,5% 37 100,0% 13 14,9% 74 85,1% 87 100,0% 13 12,5% 91 87,5% 104 100,0% 41 18,0% 187 82,0% 228 100,0%
4 56 36,8% 96 63,2% 152 100,0% 29 17,1% 141 82,9% 170 100,0% 35 12,8% 238 87,2% 273 100,0% 120 20,2% 475 79,8% 595 100,0%
5 87 39,2% 135 60,8% 222 100,0% 42 30,0% 98 70,0% 140 100,0% 28 13,3% 182 86,7% 210 100,0% 157 27,4% 415 72,6% 572 100,0%
6 91 46,4% 105 53,6% 196 100,0% 27 23,1% 90 76,9% 117 100,0% 41 31,8% 88 68,2% 129 100,0% 159 36,0% 283 64,0% 442 100,0%

4.3.5 Rating of services received: Q1_13_coaching

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 33,3% 4 66,7% 6 100,0% 1 25,0% 3 75,0% 4 100,0% 1 100,0% – – 1 100,0% 4 36,4% 7 63,6% 11 100,0%
3 10 58,8% 7 41,2% 17 100,0% 3 37,5% 5 62,5% 8 100,0% 1 33,3% 2 66,7% 3 100,0% 14 50,0% 14 50,0% 28 100,0%
4 33 57,9% 24 42,1% 57 100,0% 4 18,2% 18 81,8% 22 100,0% 3 27,3% 8 72,7% 11 100,0% 40 44,4% 50 55,6% 90 100,0%
5 67 57,8% 49 42,2% 116 100,0% 7 26,9% 19 73,1% 26 100,0% 9 56,2% 7 43,8% 16 100,0% 83 52,5% 75 47,5% 158 100,0%
6 67 62,0% 41 38,0% 108 100,0% 14 43,8% 18 56,2% 32 100,0% 23 63,9% 13 36,1% 36 100,0% 104 59,1% 72 40,9% 176 100,0%

4.3.6 Rating of services received: Q1_13_startup

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 8 66,7% 4 33,3% 12 100,0% – – 4 100,0% 4 100,0% 1 10,0% 9 90,0% 10 100,0% 9 34,6% 17 65,4% 26 100,0%
2 1 50,0% 1 50,0% 2 100,0% – – 3 100,0% 3 100,0% – – 2 100,0% 2 100,0% 1 14,3% 6 85,7% 7 100,0%
3 20 50,0% 20 50,0% 40 100,0% 18 23,7% 58 76,3% 76 100,0% 12 14,6% 70 85,4% 82 100,0% 50 25,3% 148 74,7% 198 100,0%
4 105 56,5% 81 43,5% 186 100,0% 34 22,1% 120 77,9% 154 100,0% 29 12,1% 210 87,9% 239 100,0% 168 29,0% 411 71,0% 579 100,0%
5 132 48,0% 143 52,0% 275 100,0% 36 20,6% 139 79,4% 175 100,0% 25 15,0% 142 85,0% 167 100,0% 193 31,3% 424 68,7% 617 100,0%
6 275 60,4% 180 39,6% 455 100,0% 29 21,6% 105 78,4% 134 100,0% 49 31,2% 108 68,8% 157 100,0% 353 47,3% 393 52,7% 746 100,0%

4.3.7 Rating of services received: Q1_13_reintegration

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 4 57,1% 3 42,9% 7 100,0% 3 42,9% 4 57,1% 7 100,0% 1 7,7% 12 92,3% 13 100,0% 8 29,6% 19 70,4% 27 100,0%
2 – – – – – – – – 4 100,0% 4 100,0% – – 1 100,0% 1 100,0% – – 5 100,0% 5 100,0%
3 3 37,5% 5 62,5% 8 100,0% 13 17,3% 62 82,7% 75 100,0% 11 14,9% 63 85,1% 74 100,0% 27 17,2% 130 82,8% 157 100,0%
4 16 25,8% 46 74,2% 62 100,0% 25 14,3% 150 85,7% 175 100,0% 25 10,5% 213 89,5% 238 100,0% 66 13,9% 409 86,1% 475 100,0%
5 14 15,6% 76 84,4% 90 100,0% 39 27,1% 105 72,9% 144 100,0% 38 14,8% 219 85,2% 257 100,0% 91 18,5% 400 81,5% 491 100,0%
6 16 21,1% 60 78,9% 76 100,0% 23 20,9% 87 79,1% 110 100,0% 33 28,7% 82 71,3% 115 100,0% 72 23,9% 229 76,1% 301 100,0%

4.3.8 Rating of services received: Q1_13_pss

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 6 54,5% 5 45,5% 11 100,0% 1 16,7% 5 83,3% 6 100,0% – – – – – – 7 41,2% 10 58,8% 17 100,0%
2 – – – – – – – – 4 100,0% 4 100,0% – – – – – – – – 4 100,0% 4 100,0%
3 – – 1 100,0% 1 100,0% 5 21,7% 18 78,3% 23 100,0% 2 25,0% 6 75,0% 8 100,0% 7 21,9% 25 78,1% 32 100,0%
4 8 44,4% 10 55,6% 18 100,0% 8 27,6% 21 72,4% 29 100,0% 7 33,3% 14 66,7% 21 100,0% 23 33,8% 45 66,2% 68 100,0%
5 15 53,6% 13 46,4% 28 100,0% 5 14,7% 29 85,3% 34 100,0% 11 36,7% 19 63,3% 30 100,0% 31 33,7% 61 66,3% 92 100,0%
6 23 67,6% 11 32,4% 34 100,0% 15 31,2% 33 68,8% 48 100,0% 30 60,0% 20 40,0% 50 100,0% 68 51,5% 64 48,5% 132 100,0%

4.3.9 Measures that had an effect: Graph

4.4 Change of employer

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 493 59,5% 335 40,5% 828 100,0% 102 23,4% 333 76,6% 435 100,0% 97 27,1% 261 72,9% 358 100,0% 692 42,7% 929 57,3% 1621 100,0%
Yes, but for reasons unrelated to PME support measures 119 50,4% 117 49,6% 236 100,0% 32 18,3% 143 81,7% 175 100,0% 31 22,6% 106 77,4% 137 100,0% 182 33,2% 366 66,8% 548 100,0%
Yes, directly due to the following PME support measures iden 296 48,1% 319 51,9% 615 100,0% 55 25,1% 164 74,9% 219 100,0% 48 11,8% 359 88,2% 407 100,0% 399 32,2% 842 67,8% 1241 100,0%

4.4.1 Change of employer: support did not contribute to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 156 55,9% 123 44,1% 279 100,0% 22 31,4% 48 68,6% 70 100,0% 11 22,0% 39 78,0% 50 100,0% 189 47,4% 210 52,6% 399 100,0%
Yes, but for reasons unrelated to PME support measures 47 54,0% 40 46,0% 87 100,0% 17 28,8% 42 71,2% 59 100,0% 11 39,3% 17 60,7% 28 100,0% 75 43,1% 99 56,9% 174 100,0%
Yes, directly due to the following PME support measures iden 9 64,3% 5 35,7% 14 100,0% 2 25,0% 6 75,0% 8 100,0% 2 33,3% 4 66,7% 6 100,0% 13 46,4% 15 53,6% 28 100,0%

4.4.2 Change of employer: support contributed to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 337 61,4% 212 38,6% 549 100,0% 80 21,9% 285 78,1% 365 100,0% 86 27,9% 222 72,1% 308 100,0% 503 41,2% 719 58,8% 1222 100,0%
Yes, but for reasons unrelated to PME support measures 72 48,3% 77 51,7% 149 100,0% 15 12,9% 101 87,1% 116 100,0% 20 18,3% 89 81,7% 109 100,0% 107 28,6% 267 71,4% 374 100,0%
Yes, directly due to the following PME support measures iden 287 47,8% 314 52,2% 601 100,0% 53 25,1% 158 74,9% 211 100,0% 46 11,5% 355 88,5% 401 100,0% 386 31,8% 827 68,2% 1213 100,0%

4.5 Type of employment

4.5.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Q1_4_employm_stat__1 128 48,5% 136 51,5% 264 100,0% 25 37,9% 41 62,1% 66 100,0% 7 12,5% 49 87,5% 56 100,0% 160 41,5% 226 58,5% 386 100,0%
Q1_4_employm_stat__2 78 48,8% 82 51,2% 160 100,0% 31 23,8% 99 76,2% 130 100,0% 19 16,8% 94 83,2% 113 100,0% 128 31,8% 275 68,2% 403 100,0%
Q1_4_employm_stat__3 79 55,2% 64 44,8% 143 100,0% 14 24,1% 44 75,9% 58 100,0% 6 17,1% 29 82,9% 35 100,0% 99 41,9% 137 58,1% 236 100,0%
Q1_4_employm_stat__4 142 45,1% 173 54,9% 315 100,0% 34 21,5% 124 78,5% 158 100,0% 23 11,9% 170 88,1% 193 100,0% 199 29,9% 467 70,1% 666 100,0%
Q1_4_employm_stat__5 459 61,5% 287 38,5% 746 100,0% 56 21,5% 205 78,5% 261 100,0% 78 23,6% 253 76,4% 331 100,0% 593 44,3% 745 55,7% 1338 100,0%
Q1_4_employm_stat__6 3 100,0% – – 3 100,0% – – – – – – – – – – – – 3 100,0% – – 3 100,0%
Q1_4_employm_stat__7 8 44,4% 10 55,6% 18 100,0% 2 33,3% 4 66,7% 6 100,0% – – 8 100,0% 8 100,0% 10 31,2% 22 68,8% 32 100,0%
Q1_4_employm_stat__8 39 44,8% 48 55,2% 87 100,0% 10 25,0% 30 75,0% 40 100,0% 5 38,5% 8 61,5% 13 100,0% 54 38,6% 86 61,4% 140 100,0%

4.5.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Q1_4_employm_stat__1 128 14,1% 136 17,6% 264 15,7% 25 13,2% 41 6,4% 66 8,0% 7 4,0% 49 6,7% 56 6,2% 160 12,6% 226 10,6% 386 11,3%
Q1_4_employm_stat__2 78 8,6% 82 10,6% 160 9,5% 31 16,4% 99 15,5% 130 15,7% 19 10,8% 94 12,9% 113 12,5% 128 10,1% 275 12,9% 403 11,8%
Q1_4_employm_stat__3 79 8,7% 64 8,3% 143 8,5% 14 7,4% 44 6,9% 58 7,0% 6 3,4% 29 4,0% 35 3,9% 99 7,8% 137 6,4% 236 6,9%
Q1_4_employm_stat__4 142 15,6% 173 22,4% 315 18,8% 34 18,0% 124 19,4% 158 19,1% 23 13,1% 170 23,4% 193 21,4% 199 15,6% 467 21,9% 666 19,5%
Q1_4_employm_stat__5 459 50,6% 287 37,2% 746 44,4% 56 29,6% 205 32,0% 261 31,5% 78 44,3% 253 34,8% 331 36,7% 593 46,6% 745 34,9% 1338 39,2%
Q1_4_employm_stat__6 3 0,3% – – 3 0,2% – – – – – – – – – – – – 3 0,2% – – 3 0,1%
Q1_4_employm_stat__7 8 0,9% 10 1,3% 18 1,1% 2 1,1% 4 0,6% 6 0,7% – – 8 1,1% 8 0,9% 10 0,8% 22 1,0% 32 0,9%
Q1_4_employm_stat__8 39 4,3% 48 6,2% 87 5,2% 10 5,3% 30 4,7% 40 4,8% 5 2,8% 8 1,1% 13 1,4% 54 4,2% 86 4,0% 140 4,1%

4.5.3 Type of employment: support did not contribute to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Q1_4_employm_stat__1 45 44,1% 57 55,9% 102 100,0% 11 36,7% 19 63,3% 30 100,0% 3 13,6% 19 86,4% 22 100,0% 59 38,3% 95 61,7% 154 100,0%
Q1_4_employm_stat__2 27 56,2% 21 43,8% 48 100,0% 12 41,4% 17 58,6% 29 100,0% 1 12,5% 7 87,5% 8 100,0% 40 47,1% 45 52,9% 85 100,0%
Q1_4_employm_stat__3 32 56,1% 25 43,9% 57 100,0% 11 28,9% 27 71,1% 38 100,0% 2 25,0% 6 75,0% 8 100,0% 45 43,7% 58 56,3% 103 100,0%
Q1_4_employm_stat__4 25 56,8% 19 43,2% 44 100,0% – – 10 100,0% 10 100,0% 3 27,3% 8 72,7% 11 100,0% 28 43,1% 37 56,9% 65 100,0%
Q1_4_employm_stat__5 74 63,8% 42 36,2% 116 100,0% 5 22,7% 17 77,3% 22 100,0% 9 50,0% 9 50,0% 18 100,0% 88 56,4% 68 43,6% 156 100,0%
Q1_4_employm_stat__6 1 100,0% – – 1 100,0% – – – – – – – – – – – – 1 100,0% – – 1 100,0%
Q1_4_employm_stat__7 2 33,3% 4 66,7% 6 100,0% – – – – – – – – 3 100,0% 3 100,0% 2 22,2% 7 77,8% 9 100,0%
Q1_4_employm_stat__8 22 66,7% 11 33,3% 33 100,0% 10 33,3% 20 66,7% 30 100,0% 4 66,7% 2 33,3% 6 100,0% 36 52,2% 33 47,8% 69 100,0%

4.5.4 Type of employment: support contributed to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Permanent employee 83 51,2% 79 48,8% 162 100,0% 14 38,9% 22 61,1% 36 100,0% 4 11,8% 30 88,2% 34 100,0% 101 43,5% 131 56,5% 232 100,0%
Fixed-term employee 51 45,5% 61 54,5% 112 100,0% 19 18,8% 82 81,2% 101 100,0% 18 17,1% 87 82,9% 105 100,0% 88 27,7% 230 72,3% 318 100,0%
Short-term employee 47 54,7% 39 45,3% 86 100,0% 3 15,0% 17 85,0% 20 100,0% 4 14,8% 23 85,2% 27 100,0% 54 40,6% 79 59,4% 133 100,0%
Employer 117 43,2% 154 56,8% 271 100,0% 34 23,0% 114 77,0% 148 100,0% 20 11,0% 162 89,0% 182 100,0% 171 28,5% 430 71,5% 601 100,0%
Own account worker 385 61,1% 245 38,9% 630 100,0% 51 21,3% 188 78,7% 239 100,0% 69 22,0% 244 78,0% 313 100,0% 505 42,7% 677 57,3% 1182 100,0%
Producers’ cooperative 2 100,0% – – 2 100,0% – – – – – – – – – – – – 2 100,0% – – 2 100,0%
Family business 6 50,0% 6 50,0% 12 100,0% 2 33,3% 4 66,7% 6 100,0% – – 5 100,0% 5 100,0% 8 34,8% 15 65,2% 23 100,0%
Worker not classifiable 17 31,5% 37 68,5% 54 100,0% – – 10 100,0% 10 100,0% 1 14,3% 6 85,7% 7 100,0% 18 25,4% 53 74,6% 71 100,0%

4.6 Full time/part time emplyoment

4.6.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Full-time employment (with a single employer) 232 49,2% 240 50,8% 472 100,0% 49 24,5% 151 75,5% 200 100,0% 25 15,8% 133 84,2% 158 100,0% 306 36,9% 524 63,1% 830 100,0%
Part-time (as a preference) 58 60,4% 38 39,6% 96 100,0% 12 35,3% 22 64,7% 34 100,0% 6 17,1% 29 82,9% 35 100,0% 76 46,1% 89 53,9% 165 100,0%
Part-time (not as a preference) 30 48,4% 32 51,6% 62 100,0% 2 18,2% 9 81,8% 11 100,0% 2 12,5% 14 87,5% 16 100,0% 34 38,2% 55 61,8% 89 100,0%
With multiple employers 5 29,4% 12 70,6% 17 100,0% 10 32,3% 21 67,7% 31 100,0% 3 25,0% 9 75,0% 12 100,0% 18 30,0% 42 70,0% 60 100,0%

4.6.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Full-time employment (with a single employer) 232 71,4% 240 74,5% 472 73,0% 49 67,1% 151 74,4% 200 72,5% 25 69,4% 133 71,9% 158 71,5% 306 70,5% 524 73,8% 830 72,6%
Part-time (as a preference) 58 17,8% 38 11,8% 96 14,8% 12 16,4% 22 10,8% 34 12,3% 6 16,7% 29 15,7% 35 15,8% 76 17,5% 89 12,5% 165 14,4%
Part-time (not as a preference) 30 9,2% 32 9,9% 62 9,6% 2 2,7% 9 4,4% 11 4,0% 2 5,6% 14 7,6% 16 7,2% 34 7,8% 55 7,7% 89 7,8%
With multiple employers 5 1,5% 12 3,7% 17 2,6% 10 13,7% 21 10,3% 31 11,2% 3 8,3% 9 4,9% 12 5,4% 18 4,1% 42 5,9% 60 5,2%

4.6.3 Full time/part time emplyoment: support did not contribute to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Full-time employment (with a single employer) 91 51,4% 86 48,6% 177 100,0% 21 30,0% 49 70,0% 70 100,0% 6 18,2% 27 81,8% 33 100,0% 118 42,1% 162 57,9% 280 100,0%
Part-time (as a preference) 17 53,1% 15 46,9% 32 100,0% 4 44,4% 5 55,6% 9 100,0% 2 40,0% 3 60,0% 5 100,0% 23 50,0% 23 50,0% 46 100,0%
Part-time (not as a preference) 14 73,7% 5 26,3% 19 100,0% 2 28,6% 5 71,4% 7 100,0% 1 16,7% 5 83,3% 6 100,0% 17 53,1% 15 46,9% 32 100,0%
With multiple employers 2 33,3% 4 66,7% 6 100,0% 9 42,9% 12 57,1% 21 100,0% – – 1 100,0% 1 100,0% 11 39,3% 17 60,7% 28 100,0%

4.6.4 Full time/part time emplyoment: support contributed to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Full-time employment (with a single employer) 141 47,8% 154 52,2% 295 100,0% 28 21,5% 102 78,5% 130 100,0% 19 15,2% 106 84,8% 125 100,0% 188 34,2% 362 65,8% 550 100,0%
Part-time (as a preference) 41 64,1% 23 35,9% 64 100,0% 8 32,0% 17 68,0% 25 100,0% 4 13,3% 26 86,7% 30 100,0% 53 44,5% 66 55,5% 119 100,0%
Part-time (not as a preference) 16 37,2% 27 62,8% 43 100,0% – – 4 100,0% 4 100,0% 1 10,0% 9 90,0% 10 100,0% 17 29,8% 40 70,2% 57 100,0%
With multiple employers 3 27,3% 8 72,7% 11 100,0% 1 10,0% 9 90,0% 10 100,0% 3 27,3% 8 72,7% 11 100,0% 7 21,9% 25 78,1% 32 100,0%
Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Full-time employment (with a single employer) 141 47,8% 154 52,2% 295 100,0% 28 21,5% 102 78,5% 130 100,0% 19 15,2% 106 84,8% 125 100,0% 188 34,2% 362 65,8% 550 100,0%
Part-time (as a preference) 41 64,1% 23 35,9% 64 100,0% 8 32,0% 17 68,0% 25 100,0% 4 13,3% 26 86,7% 30 100,0% 53 44,5% 66 55,5% 119 100,0%
Part-time (not as a preference) 16 37,2% 27 62,8% 43 100,0% – – 4 100,0% 4 100,0% 1 10,0% 9 90,0% 10 100,0% 17 29,8% 40 70,2% 57 100,0%
With multiple employers 3 27,3% 8 72,7% 11 100,0% 1 10,0% 9 90,0% 10 100,0% 3 27,3% 8 72,7% 11 100,0% 7 21,9% 25 78,1% 32 100,0%

4.7 Sectors of employment

4.7.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Agriculture, forestry and fisheries 33 32,0% 70 68,0% 103 100,0% 16 23,5% 52 76,5% 68 100,0% 5 11,6% 38 88,4% 43 100,0% 54 25,2% 160 74,8% 214 100,0%
Construction 8 11,9% 59 88,1% 67 100,0% 1 1,3% 78 98,7% 79 100,0% 3 7,0% 40 93,0% 43 100,0% 12 6,3% 177 93,7% 189 100,0%
Education and Healthcare (public and private), Social Welfar 56 62,9% 33 37,1% 89 100,0% 6 46,2% 7 53,8% 13 100,0% 9 47,4% 10 52,6% 19 100,0% 71 58,7% 50 41,3% 121 100,0%
Manufacturing or extraction (i.e. mining) 43 81,1% 10 18,9% 53 100,0% 3 7,7% 36 92,3% 39 100,0% 11 31,4% 24 68,6% 35 100,0% 57 44,9% 70 55,1% 127 100,0%
Other 284 65,3% 151 34,7% 435 100,0% 66 35,1% 122 64,9% 188 100,0% 42 35,6% 76 64,4% 118 100,0% 392 52,9% 349 47,1% 741 100,0%
Public sector (including public utilities) 20 46,5% 23 53,5% 43 100,0% 7 15,9% 37 84,1% 44 100,0% 5 17,9% 23 82,1% 28 100,0% 32 27,8% 83 72,2% 115 100,0%
Sales (including vehicle repair) 100 65,8% 52 34,2% 152 100,0% 35 19,0% 149 81,0% 184 100,0% 27 13,1% 179 86,9% 206 100,0% 162 29,9% 380 70,1% 542 100,0%
Service sector (including privatized utilities) 364 49,4% 373 50,6% 737 100,0% 55 25,7% 159 74,3% 214 100,0% 74 18,0% 336 82,0% 410 100,0% 493 36,2% 868 63,8% 1361 100,0%

4.7.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Agriculture, forestry and fisheries 33 3,6% 70 9,1% 103 6,1% 16 8,5% 52 8,1% 68 8,2% 5 2,8% 38 5,2% 43 4,8% 54 4,2% 160 7,5% 214 6,3%
Construction 8 0,9% 59 7,7% 67 4,0% 1 0,5% 78 12,2% 79 9,5% 3 1,7% 40 5,5% 43 4,8% 12 0,9% 177 8,3% 189 5,5%
Education and Healthcare (public and private), Social Welfar 56 6,2% 33 4,3% 89 5,3% 6 3,2% 7 1,1% 13 1,6% 9 5,1% 10 1,4% 19 2,1% 71 5,6% 50 2,3% 121 3,5%
Manufacturing or extraction (i.e. mining) 43 4,7% 10 1,3% 53 3,2% 3 1,6% 36 5,6% 39 4,7% 11 6,2% 24 3,3% 35 3,9% 57 4,5% 70 3,3% 127 3,7%
Other 284 31,3% 151 19,6% 435 25,9% 66 34,9% 122 19,1% 188 22,7% 42 23,9% 76 10,5% 118 13,1% 392 30,8% 349 16,3% 741 21,7%
Public sector (including public utilities) 20 2,2% 23 3,0% 43 2,6% 7 3,7% 37 5,8% 44 5,3% 5 2,8% 23 3,2% 28 3,1% 32 2,5% 83 3,9% 115 3,4%
Sales (including vehicle repair) 100 11,0% 52 6,7% 152 9,1% 35 18,5% 149 23,3% 184 22,2% 27 15,3% 179 24,7% 206 22,8% 162 12,7% 380 17,8% 542 15,9%
Service sector (including privatized utilities) 364 40,1% 373 48,4% 737 43,9% 55 29,1% 159 24,8% 214 25,8% 74 42,0% 336 46,3% 410 45,5% 493 38,7% 868 40,6% 1361 39,9%

4.7.3 Sectors of employment: support did not contribute to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Agriculture, forestry and fisheries 9 39,1% 14 60,9% 23 100,0% 1 7,7% 12 92,3% 13 100,0% 1 25,0% 3 75,0% 4 100,0% 11 27,5% 29 72,5% 40 100,0%
Construction 4 21,1% 15 78,9% 19 100,0% – – 18 100,0% 18 100,0% 2 15,4% 11 84,6% 13 100,0% 6 12,0% 44 88,0% 50 100,0%
Education and Healthcare (public and private), Social Welfar 24 57,1% 18 42,9% 42 100,0% 3 75,0% 1 25,0% 4 100,0% 1 25,0% 3 75,0% 4 100,0% 28 56,0% 22 44,0% 50 100,0%
Manufacturing or extraction (i.e. mining) 9 90,0% 1 10,0% 10 100,0% 3 23,1% 10 76,9% 13 100,0% 2 40,0% 3 60,0% 5 100,0% 14 50,0% 14 50,0% 28 100,0%
Other 58 70,7% 24 29,3% 82 100,0% 11 55,0% 9 45,0% 20 100,0% 7 77,8% 2 22,2% 9 100,0% 76 68,5% 35 31,5% 111 100,0%
Public sector (including public utilities) 7 31,8% 15 68,2% 22 100,0% 3 33,3% 6 66,7% 9 100,0% – – 1 100,0% 1 100,0% 10 31,2% 22 68,8% 32 100,0%
Sales (including vehicle repair) 32 69,6% 14 30,4% 46 100,0% 5 27,8% 13 72,2% 18 100,0% 4 22,2% 14 77,8% 18 100,0% 41 50,0% 41 50,0% 82 100,0%
Service sector (including privatized utilities) 69 50,7% 67 49,3% 136 100,0% 15 35,7% 27 64,3% 42 100,0% 7 23,3% 23 76,7% 30 100,0% 91 43,8% 117 56,2% 208 100,0%

4.7.4 Sectors of employment: support contributed to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Agriculture, forestry and fisheries 24 30,0% 56 70,0% 80 100,0% 15 27,3% 40 72,7% 55 100,0% 4 10,3% 35 89,7% 39 100,0% 43 24,7% 131 75,3% 174 100,0%
Construction 4 8,3% 44 91,7% 48 100,0% 1 1,6% 60 98,4% 61 100,0% 1 3,3% 29 96,7% 30 100,0% 6 4,3% 133 95,7% 139 100,0%
Education and Healthcare (public and private), Social Welfar 32 68,1% 15 31,9% 47 100,0% 3 33,3% 6 66,7% 9 100,0% 8 53,3% 7 46,7% 15 100,0% 43 60,6% 28 39,4% 71 100,0%
Manufacturing or extraction (i.e. mining) 34 79,1% 9 20,9% 43 100,0% – – 26 100,0% 26 100,0% 9 30,0% 21 70,0% 30 100,0% 43 43,4% 56 56,6% 99 100,0%
Other 226 64,0% 127 36,0% 353 100,0% 55 32,7% 113 67,3% 168 100,0% 35 32,1% 74 67,9% 109 100,0% 316 50,2% 314 49,8% 630 100,0%
Public sector (including public utilities) 13 61,9% 8 38,1% 21 100,0% 4 11,4% 31 88,6% 35 100,0% 5 18,5% 22 81,5% 27 100,0% 22 26,5% 61 73,5% 83 100,0%
Sales (including vehicle repair) 68 64,2% 38 35,8% 106 100,0% 30 18,1% 136 81,9% 166 100,0% 23 12,2% 165 87,8% 188 100,0% 121 26,3% 339 73,7% 460 100,0%
Service sector (including privatized utilities) 295 49,1% 306 50,9% 601 100,0% 40 23,3% 132 76,7% 172 100,0% 67 17,6% 313 82,4% 380 100,0% 402 34,9% 751 65,1% 1153 100,0%

4.8 Income increased

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 128 46,7% 146 53,3% 274 100,0% 40 27,4% 106 72,6% 146 100,0% 14 20,3% 55 79,7% 69 100,0% 182 37,2% 307 62,8% 489 100,0%
Yes 197 52,8% 176 47,2% 373 100,0% 33 25,4% 97 74,6% 130 100,0% 22 14,5% 130 85,5% 152 100,0% 252 38,5% 403 61,5% 655 100,0%

4.8.1 Test of Statistical Significance

## [1] "Migration Status"
## 
##    Cell Contents
## |-------------------------|
## |                   Count |
## | Chi-square contribution |
## |             Row Percent |
## |          Column Percent |
## |           Total Percent |
## |-------------------------|
## 
## Total Observations in Table:  1144 
## 
##                               | data$Q1_6 
##                data$Migration |       No  |      Yes  | Row Total | 
## ------------------------------|-----------|-----------|-----------|
##              Local Population |      274  |      373  |      647  | 
##                               |    0.024  |    0.018  |           | 
##                               |   42.349% |   57.651% |   56.556% | 
##                               |   56.033% |   56.947% |           | 
##                               |   23.951% |   32.605% |           | 
## ------------------------------|-----------|-----------|-----------|
##             Migrants from GER |      146  |      130  |      276  | 
##                               |    6.657  |    4.970  |           | 
##                               |   52.899% |   47.101% |   24.126% | 
##                               |   29.857% |   19.847% |           | 
##                               |   12.762% |   11.364% |           | 
## ------------------------------|-----------|-----------|-----------|
## Migrants from third countries |       69  |      152  |      221  | 
##                               |    6.865  |    5.125  |           | 
##                               |   31.222% |   68.778% |   19.318% | 
##                               |   14.110% |   23.206% |           | 
##                               |    6.031% |   13.287% |           | 
## ------------------------------|-----------|-----------|-----------|
##                  Column Total |      489  |      655  |     1144  | 
##                               |   42.745% |   57.255% |           | 
## ------------------------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  23.65859     d.f. =  2     p =  7.287907e-06 
## 
## 
##  
##        Minimum expected frequency: 94.46591 
## 
## NULL
## [1] "Gender"
## 
##    Cell Contents
## |-------------------------|
## |                   Count |
## | Chi-square contribution |
## |             Row Percent |
## |          Column Percent |
## |           Total Percent |
## |-------------------------|
## 
## Total Observations in Table:  1144 
## 
##              | data$Q1_6 
##  data$Gender |       No  |      Yes  | Row Total | 
## -------------|-----------|-----------|-----------|
##       Female |      182  |      252  |      434  | 
##              |    0.066  |    0.050  |           | 
##              |   41.935% |   58.065% |   37.937% | 
##              |   37.219% |   38.473% |           | 
##              |   15.909% |   22.028% |           | 
## -------------|-----------|-----------|-----------|
##         Male |      307  |      403  |      710  | 
##              |    0.041  |    0.030  |           | 
##              |   43.239% |   56.761% |   62.063% | 
##              |   62.781% |   61.527% |           | 
##              |   26.836% |   35.227% |           | 
## -------------|-----------|-----------|-----------|
## Column Total |      489  |      655  |     1144  | 
##              |   42.745% |   57.255% |           | 
## -------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  0.1871318     d.f. =  1     p =  0.6653146 
## 
## Pearson's Chi-squared test with Yates' continuity correction 
## ------------------------------------------------------------
## Chi^2 =  0.1376443     d.f. =  1     p =  0.7106342 
## 
##  
##        Minimum expected frequency: 185.5122 
## 
## NULL

4.8.2 Income increased: support did not contribute to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 88 51,5% 83 48,5% 171 100,0% 32 35,6% 58 64,4% 90 100,0% 8 22,9% 27 77,1% 35 100,0% 128 43,2% 168 56,8% 296 100,0%
Yes 36 57,1% 27 42,9% 63 100,0% 4 23,5% 13 76,5% 17 100,0% 1 10,0% 9 90,0% 10 100,0% 41 45,6% 49 54,4% 90 100,0%

4.8.3 Income increased: support contributed to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 40 38,8% 63 61,2% 103 100,0% 8 14,3% 48 85,7% 56 100,0% 6 17,6% 28 82,4% 34 100,0% 54 28,0% 139 72,0% 193 100,0%
Yes 161 51,9% 149 48,1% 310 100,0% 29 25,7% 84 74,3% 113 100,0% 21 14,8% 121 85,2% 142 100,0% 211 37,3% 354 62,7% 565 100,0%

4.9 Additional in-kind income

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 272 50,9% 262 49,1% 534 100,0% 65 27,1% 175 72,9% 240 100,0% 32 16,8% 158 83,2% 190 100,0% 369 38,3% 595 61,7% 964 100,0%
Yes 53 46,9% 60 53,1% 113 100,0% 8 22,2% 28 77,8% 36 100,0% 4 12,9% 27 87,1% 31 100,0% 65 36,1% 115 63,9% 180 100,0%

4.9.1 Additional in-kind income: support did not contribute to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 112 53,8% 96 46,2% 208 100,0% 36 34,6% 68 65,4% 104 100,0% 9 20,5% 35 79,5% 44 100,0% 157 44,1% 199 55,9% 356 100,0%
Yes 12 46,2% 14 53,8% 26 100,0% – – 3 100,0% 3 100,0% – – 1 100,0% 1 100,0% 12 40,0% 18 60,0% 30 100,0%

4.9.2 Additional in-kind income: support contributed to finding employment

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 160 49,1% 166 50,9% 326 100,0% 29 21,3% 107 78,7% 136 100,0% 23 15,8% 123 84,2% 146 100,0% 212 34,9% 396 65,1% 608 100,0%
Yes 41 47,1% 46 52,9% 87 100,0% 8 24,2% 25 75,8% 33 100,0% 4 13,3% 26 86,7% 30 100,0% 53 35,3% 97 64,7% 150 100,0%

5 Start-up

5.1 Measures received to launch a business

5.1.1 By Gender

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Q2_1_startup_training 661 55,2% 536 44,8% 1197 100,0% 132 21,3% 488 78,7% 620 100,0% 137 19,0% 583 81,0% 720 100,0% 930 36,7% 1607 63,3% 2537 100,0%
Q2_1_kit 587 55,3% 475 44,7% 1062 100,0% 60 21,2% 223 78,8% 283 100,0% 76 19,6% 312 80,4% 388 100,0% 723 41,7% 1010 58,3% 1733 100,0%
Q2_1_financial 255 62,2% 155 37,8% 410 100,0% 100 20,9% 379 79,1% 479 100,0% 110 25,4% 323 74,6% 433 100,0% 465 35,2% 857 64,8% 1322 100,0%
Q2_1_coaching_startup 346 45,1% 421 54,9% 767 100,0% 54 23,7% 174 76,3% 228 100,0% 77 17,7% 358 82,3% 435 100,0% 477 33,4% 953 66,6% 1430 100,0%
Q2_1_other 207 55,9% 163 44,1% 370 100,0% 128 26,1% 363 73,9% 491 100,0% 58 22,5% 200 77,5% 258 100,0% 393 35,1% 726 64,9% 1119 100,0%

5.1.2 By Question

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Q2_1_startup_training 661 55,2% 536 44,8% 1197 100,0% 132 21,3% 488 78,7% 620 100,0% 137 19,0% 583 81,0% 720 100,0% 930 36,7% 1607 63,3% 2537 100,0%
Q2_1_kit 587 55,3% 475 44,7% 1062 100,0% 60 21,2% 223 78,8% 283 100,0% 76 19,6% 312 80,4% 388 100,0% 723 41,7% 1010 58,3% 1733 100,0%
Q2_1_financial 255 62,2% 155 37,8% 410 100,0% 100 20,9% 379 79,1% 479 100,0% 110 25,4% 323 74,6% 433 100,0% 465 35,2% 857 64,8% 1322 100,0%
Q2_1_coaching_startup 346 45,1% 421 54,9% 767 100,0% 54 23,7% 174 76,3% 228 100,0% 77 17,7% 358 82,3% 435 100,0% 477 33,4% 953 66,6% 1430 100,0%
Q2_1_other 207 55,9% 163 44,1% 370 100,0% 128 26,1% 363 73,9% 491 100,0% 58 22,5% 200 77,5% 258 100,0% 393 35,1% 726 64,9% 1119 100,0%

5.2 Average number of measures received to launch a business

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Services received 749 2,74 661 2,65 1.410 2,7 167 2,84 589 2,76 756 2,78 168 2,73 687 2,59 855 2,61 1.084 2,76 1.937 2,66 3.021 2,69

5.3 Rating of measures received to launch a business

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q2_1_coaching_startup_rate 346 4,10 421 3,24 767 3,62 54 4,07 174 3,18 228 3,39 77 4,06 358 2,38 435 2,68 477 4,09 953 2,91 1.430 3,30
Q2_1_financial_rate 255 5,03 155 4,90 410 4,98 100 4,36 379 4,22 479 4,25 110 4,32 323 4,02 433 4,10 465 4,72 857 4,27 1.322 4,43
Q2_1_kit_rate 587 5,22 475 5,01 1.062 5,13 60 4,83 223 4,71 283 4,74 76 5,17 312 4,77 388 4,85 723 5,18 1.010 4,87 1.733 5,00
Q2_1_other_rate 124 3,80 242 2,90 366 3,20 6 4,83 56 3,04 62 3,21 18 4,28 297 2,32 315 2,43 148 3,90 595 2,62 743 2,88
Q2_1_startup_training_rate 661 4,77 536 4,67 1.197 4,72 132 4,34 488 4,07 620 4,13 137 4,84 583 4,37 720 4,46 930 4,72 1.607 4,38 2.537 4,50

5.3.1 Rating of services received: Q2_1_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 19 23,5% 62 76,5% 81 100,0% 1 7,1% 13 92,9% 14 100,0% 1 0,8% 119 99,2% 120 100,0% 21 9,8% 194 90,2% 215 100,0%
2 4 50,0% 4 50,0% 8 100,0% – – 1 100,0% 1 100,0% – – – – – – 4 44,4% 5 55,6% 9 100,0%
3 29 18,6% 127 81,4% 156 100,0% – – 28 100,0% 28 100,0% 6 3,6% 163 96,4% 169 100,0% 35 9,9% 318 90,1% 353 100,0%
4 28 70,0% 12 30,0% 40 100,0% 1 16,7% 5 83,3% 6 100,0% 2 40,0% 3 60,0% 5 100,0% 31 60,8% 20 39,2% 51 100,0%
5 19 50,0% 19 50,0% 38 100,0% – – 3 100,0% 3 100,0% 4 50,0% 4 50,0% 8 100,0% 23 46,9% 26 53,1% 49 100,0%
6 25 58,1% 18 41,9% 43 100,0% 4 40,0% 6 60,0% 10 100,0% 5 38,5% 8 61,5% 13 100,0% 34 51,5% 32 48,5% 66 100,0%

5.3.2 Rating of services received: Q2_1_startup_training_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 59 61,5% 37 38,5% 96 100,0% 12 16,7% 60 83,3% 72 100,0% 5 21,7% 18 78,3% 23 100,0% 76 39,8% 115 60,2% 191 100,0%
2 – – 4 100,0% 4 100,0% 3 27,3% 8 72,7% 11 100,0% 2 40,0% 3 60,0% 5 100,0% 5 25,0% 15 75,0% 20 100,0%
3 26 44,1% 33 55,9% 59 100,0% 17 19,1% 72 80,9% 89 100,0% 17 18,1% 77 81,9% 94 100,0% 60 24,8% 182 75,2% 242 100,0%
4 112 46,9% 127 53,1% 239 100,0% 27 15,4% 148 84,6% 175 100,0% 23 8,7% 240 91,3% 263 100,0% 162 23,9% 515 76,1% 677 100,0%
5 216 57,3% 161 42,7% 377 100,0% 42 30,0% 98 70,0% 140 100,0% 29 17,3% 139 82,7% 168 100,0% 287 41,9% 398 58,1% 685 100,0%
6 248 58,8% 174 41,2% 422 100,0% 31 23,3% 102 76,7% 133 100,0% 61 36,5% 106 63,5% 167 100,0% 340 47,1% 382 52,9% 722 100,0%

5.3.3 Rating of services received: Q2_1_kit_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 33,3% 6 66,7% 9 100,0% 4 50,0% 4 50,0% 8 100,0% 3 100,0% – – 3 100,0% 10 50,0% 10 50,0% 20 100,0%
2 9 60,0% 6 40,0% 15 100,0% – – 7 100,0% 7 100,0% 3 50,0% 3 50,0% 6 100,0% 12 42,9% 16 57,1% 28 100,0%
3 33 57,9% 24 42,1% 57 100,0% 5 13,5% 32 86,5% 37 100,0% 4 14,3% 24 85,7% 28 100,0% 42 34,4% 80 65,6% 122 100,0%
4 88 46,1% 103 53,9% 191 100,0% 11 21,2% 41 78,8% 52 100,0% 2 2,0% 97 98,0% 99 100,0% 101 29,5% 241 70,5% 342 100,0%
5 131 48,3% 140 51,7% 271 100,0% 13 17,6% 61 82,4% 74 100,0% 20 15,9% 106 84,1% 126 100,0% 164 34,8% 307 65,2% 471 100,0%
6 323 62,2% 196 37,8% 519 100,0% 27 25,7% 78 74,3% 105 100,0% 44 34,9% 82 65,1% 126 100,0% 394 52,5% 356 47,5% 750 100,0%

5.3.4 Rating of services received: Q2_1_financial_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – 4 100,0% 4 100,0% 6 30,0% 14 70,0% 20 100,0% 4 40,0% 6 60,0% 10 100,0% 10 29,4% 24 70,6% 34 100,0%
2 9 81,8% 2 18,2% 11 100,0% 2 8,3% 22 91,7% 24 100,0% 5 15,2% 28 84,8% 33 100,0% 16 23,5% 52 76,5% 68 100,0%
3 15 48,4% 16 51,6% 31 100,0% 19 20,2% 75 79,8% 94 100,0% 24 24,5% 74 75,5% 98 100,0% 58 26,0% 165 74,0% 223 100,0%
4 47 65,3% 25 34,7% 72 100,0% 21 17,1% 102 82,9% 123 100,0% 29 20,7% 111 79,3% 140 100,0% 97 29,0% 238 71,0% 335 100,0%
5 73 62,4% 44 37,6% 117 100,0% 27 23,5% 88 76,5% 115 100,0% 15 22,4% 52 77,6% 67 100,0% 115 38,5% 184 61,5% 299 100,0%
6 111 63,4% 64 36,6% 175 100,0% 25 24,3% 78 75,7% 103 100,0% 33 38,8% 52 61,2% 85 100,0% 169 46,6% 194 53,4% 363 100,0%

5.3.5 Rating of services received: Q2_1_coaching_startup_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 61 33,5% 121 66,5% 182 100,0% 13 18,6% 57 81,4% 70 100,0% 20 11,6% 153 88,4% 173 100,0% 94 22,1% 331 77,9% 425 100,0%
2 6 60,0% 4 40,0% 10 100,0% 1 20,0% 4 80,0% 5 100,0% – – 1 100,0% 1 100,0% 7 43,8% 9 56,2% 16 100,0%
3 37 21,8% 133 78,2% 170 100,0% 4 9,5% 38 90,5% 42 100,0% 5 3,0% 161 97,0% 166 100,0% 46 12,2% 332 87,8% 378 100,0%
4 64 61,5% 40 38,5% 104 100,0% 5 19,2% 21 80,8% 26 100,0% 10 38,5% 16 61,5% 26 100,0% 79 50,6% 77 49,4% 156 100,0%
5 91 58,7% 64 41,3% 155 100,0% 13 28,3% 33 71,7% 46 100,0% 14 56,0% 11 44,0% 25 100,0% 118 52,2% 108 47,8% 226 100,0%
6 87 59,6% 59 40,4% 146 100,0% 18 46,2% 21 53,8% 39 100,0% 28 63,6% 16 36,4% 44 100,0% 133 58,1% 96 41,9% 229 100,0%

5.4 Start up created

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
0 210 49,8% 212 50,2% 422 100,0% 53 27,2% 142 72,8% 195 100,0% 46 22,3% 160 77,7% 206 100,0% 309 37,5% 514 62,5% 823 100,0%
1 539 54,6% 449 45,4% 988 100,0% 114 20,3% 447 79,7% 561 100,0% 122 18,8% 526 81,2% 648 100,0% 775 35,3% 1422 64,7% 2197 100,0%

5.5 Business still operating

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 12 41,4% 17 58,6% 29 100,0% 21 17,8% 97 82,2% 118 100,0% 26 23,4% 85 76,6% 111 100,0% 59 22,9% 199 77,1% 258 100,0%
Uncertain 4 50,0% 4 50,0% 8 100,0% 2 25,0% 6 75,0% 8 100,0% 2 66,7% 1 33,3% 3 100,0% 8 42,1% 11 57,9% 19 100,0%
Yes 523 55,0% 428 45,0% 951 100,0% 91 20,9% 344 79,1% 435 100,0% 94 17,6% 440 82,4% 534 100,0% 708 36,9% 1212 63,1% 1920 100,0%

5.5.1 Business still operating: Measures received to launch a business

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Q2_1_startup_training 503 55,2% 408 44,8% 911 100,0% 89 21,3% 328 78,7% 417 100,0% 87 16,9% 429 83,1% 516 100,0% 679 36,8% 1165 63,2% 1844 100,0%
Q2_1_kit 462 55,1% 377 44,9% 839 100,0% 44 22,0% 156 78,0% 200 100,0% 59 18,6% 259 81,4% 318 100,0% 565 41,6% 792 58,4% 1357 100,0%
Q2_1_financial 221 63,9% 125 36,1% 346 100,0% 62 20,5% 240 79,5% 302 100,0% 63 25,8% 181 74,2% 244 100,0% 346 38,8% 546 61,2% 892 100,0%
Q2_1_coaching_startup 220 44,8% 271 55,2% 491 100,0% 37 23,9% 118 76,1% 155 100,0% 57 17,5% 268 82,5% 325 100,0% 314 32,3% 657 67,7% 971 100,0%
Q2_1_other 118 65,9% 61 34,1% 179 100,0% 64 23,0% 214 77,0% 278 100,0% 27 22,0% 96 78,0% 123 100,0% 209 36,0% 371 64,0% 580 100,0%

5.5.2 Business still operating: Rate of measures received to launch a business

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q2_1_coaching_startup_rate 220 4,34 271 3,44 491 3,84 37 4,00 118 3,26 155 3,44 57 4,14 268 2,50 325 2,79 314 4,26 657 3,03 971 3,43
Q2_1_financial_rate 221 5,06 125 4,94 346 5,02 62 4,81 240 4,51 302 4,57 63 4,79 181 4,17 244 4,33 346 4,97 546 4,49 892 4,68
Q2_1_kit_rate 462 5,32 377 5,15 839 5,24 44 5,07 156 4,99 200 5,00 59 5,34 259 4,91 318 4,99 565 5,30 792 5,04 1.357 5,15
Q2_1_other_rate 73 4,27 169 2,92 242 3,33 4 5,50 33 3,30 37 3,54 13 4,46 230 2,36 243 2,47 90 4,36 432 2,65 522 2,94
Q2_1_startup_training_rate 503 4,83 408 4,83 911 4,83 89 4,74 328 4,32 417 4,41 87 5,16 429 4,53 516 4,64 679 4,86 1.165 4,58 1.844 4,68

5.5.2.1 Rating of services received: Q2_1_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 8,3% 33 91,7% 36 100,0% – – 5 100,0% 5 100,0% 1 1,2% 84 98,8% 85 100,0% 4 3,2% 122 96,8% 126 100,0%
2 2 40,0% 3 60,0% 5 100,0% – – 1 100,0% 1 100,0% – – – – – – 2 33,3% 4 66,7% 6 100,0%
3 14 11,9% 104 88,1% 118 100,0% – – 16 100,0% 16 100,0% 3 2,1% 137 97,9% 140 100,0% 17 6,2% 257 93,8% 274 100,0%
4 24 70,6% 10 29,4% 34 100,0% 1 16,7% 5 83,3% 6 100,0% 2 50,0% 2 50,0% 4 100,0% 27 61,4% 17 38,6% 44 100,0%
5 13 52,0% 12 48,0% 25 100,0% – – 2 100,0% 2 100,0% 2 50,0% 2 50,0% 4 100,0% 15 48,4% 16 51,6% 31 100,0%
6 17 70,8% 7 29,2% 24 100,0% 3 42,9% 4 57,1% 7 100,0% 5 50,0% 5 50,0% 10 100,0% 25 61,0% 16 39,0% 41 100,0%

5.5.2.2 Rating of services received: Q2_1_startup_training_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 44 64,7% 24 35,3% 68 100,0% 4 10,0% 36 90,0% 40 100,0% 2 11,8% 15 88,2% 17 100,0% 50 40,0% 75 60,0% 125 100,0%
2 – – 1 100,0% 1 100,0% – – 3 100,0% 3 100,0% 2 50,0% 2 50,0% 4 100,0% 2 25,0% 6 75,0% 8 100,0%
3 14 53,8% 12 46,2% 26 100,0% 8 19,0% 34 81,0% 42 100,0% 6 16,2% 31 83,8% 37 100,0% 28 26,7% 77 73,3% 105 100,0%
4 78 46,7% 89 53,3% 167 100,0% 17 16,8% 84 83,2% 101 100,0% 10 5,6% 169 94,4% 179 100,0% 105 23,5% 342 76,5% 447 100,0%
5 173 55,3% 140 44,7% 313 100,0% 34 27,9% 88 72,1% 122 100,0% 17 12,8% 116 87,2% 133 100,0% 224 39,4% 344 60,6% 568 100,0%
6 194 57,7% 142 42,3% 336 100,0% 26 23,9% 83 76,1% 109 100,0% 50 34,2% 96 65,8% 146 100,0% 270 45,7% 321 54,3% 591 100,0%

5.5.2.3 Rating of services received: Q2_1_kit_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% – – 2 100,0% 2 100,0% 1 100,0% – – 1 100,0% 3 50,0% 3 50,0% 6 100,0%
2 6 66,7% 3 33,3% 9 100,0% – – 1 100,0% 1 100,0% 3 75,0% 1 25,0% 4 100,0% 9 64,3% 5 35,7% 14 100,0%
3 15 71,4% 6 28,6% 21 100,0% 5 26,3% 14 73,7% 19 100,0% 2 18,2% 9 81,8% 11 100,0% 22 43,1% 29 56,9% 51 100,0%
4 66 44,6% 82 55,4% 148 100,0% 8 25,0% 24 75,0% 32 100,0% 1 1,2% 79 98,8% 80 100,0% 75 28,8% 185 71,2% 260 100,0%
5 104 46,0% 122 54,0% 226 100,0% 10 15,6% 54 84,4% 64 100,0% 14 13,1% 93 86,9% 107 100,0% 128 32,2% 269 67,8% 397 100,0%
6 269 62,3% 163 37,7% 432 100,0% 21 25,6% 61 74,4% 82 100,0% 38 33,0% 77 67,0% 115 100,0% 328 52,1% 301 47,9% 629 100,0%

5.5.2.4 Rating of services received: Q2_1_financial_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – 2 100,0% 2 100,0% 1 33,3% 2 66,7% 3 100,0% – – 1 100,0% 1 100,0% 1 16,7% 5 83,3% 6 100,0%
2 6 85,7% 1 14,3% 7 100,0% 1 5,9% 16 94,1% 17 100,0% 2 10,5% 17 89,5% 19 100,0% 9 20,9% 34 79,1% 43 100,0%
3 10 43,5% 13 56,5% 23 100,0% 7 15,2% 39 84,8% 46 100,0% 10 21,3% 37 78,7% 47 100,0% 27 23,3% 89 76,7% 116 100,0%
4 44 65,7% 23 34,3% 67 100,0% 11 18,3% 49 81,7% 60 100,0% 13 18,3% 58 81,7% 71 100,0% 68 34,3% 130 65,7% 198 100,0%
5 66 66,7% 33 33,3% 99 100,0% 22 24,2% 69 75,8% 91 100,0% 12 27,3% 32 72,7% 44 100,0% 100 42,7% 134 57,3% 234 100,0%
6 95 64,2% 53 35,8% 148 100,0% 20 23,5% 65 76,5% 85 100,0% 26 41,9% 36 58,1% 62 100,0% 141 47,8% 154 52,2% 295 100,0%

5.5.2.5 Rating of services received: Q2_1_coaching_startup_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 27 34,2% 52 65,8% 79 100,0% 9 18,4% 40 81,6% 49 100,0% 14 12,3% 100 87,7% 114 100,0% 50 20,7% 192 79,3% 242 100,0%
2 3 100,0% – – 3 100,0% – – 2 100,0% 2 100,0% – – 1 100,0% 1 100,0% 3 50,0% 3 50,0% 6 100,0%
3 19 14,8% 109 85,2% 128 100,0% 3 13,0% 20 87,0% 23 100,0% 3 2,2% 133 97,8% 136 100,0% 25 8,7% 262 91,3% 287 100,0%
4 49 62,0% 30 38,0% 79 100,0% 5 26,3% 14 73,7% 19 100,0% 8 38,1% 13 61,9% 21 100,0% 62 52,1% 57 47,9% 119 100,0%
5 64 58,2% 46 41,8% 110 100,0% 10 27,0% 27 73,0% 37 100,0% 11 55,0% 9 45,0% 20 100,0% 85 50,9% 82 49,1% 167 100,0%
6 58 63,0% 34 37,0% 92 100,0% 10 40,0% 15 60,0% 25 100,0% 21 63,6% 12 36,4% 33 100,0% 89 59,3% 61 40,7% 150 100,0%

5.5.3 Business still operating: Average number of measures received to launch a business

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Services received 523 2,91 428 2,9 951 2,91 91 3,25 344 3,07 435 3,11 94 3,12 440 2,8 534 2,86 708 2,98 1.212 2,91 1.920 2,94

5.5.4 Business still operating: Rating of measures received to launch a business

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean n Mean
Q2_1_coaching_startup_rate 220 4,34 271 3,44 491 3,84 37 4,00 118 3,26 155 3,44 57 4,14 268 2,50 325 2,79 314 4,26 657 3,03 971 3,43
Q2_1_financial_rate 221 5,06 125 4,94 346 5,02 62 4,81 240 4,51 302 4,57 63 4,79 181 4,17 244 4,33 346 4,97 546 4,49 892 4,68
Q2_1_kit_rate 462 5,32 377 5,15 839 5,24 44 5,07 156 4,99 200 5,00 59 5,34 259 4,91 318 4,99 565 5,30 792 5,04 1.357 5,15
Q2_1_other_rate 73 4,27 169 2,92 242 3,33 4 5,50 33 3,30 37 3,54 13 4,46 230 2,36 243 2,47 90 4,36 432 2,65 522 2,94
Q2_1_startup_training_rate 503 4,83 408 4,83 911 4,83 89 4,74 328 4,32 417 4,41 87 5,16 429 4,53 516 4,64 679 4,86 1.165 4,58 1.844 4,68

5.5.4.1 Rating of services received: Q2_1_other_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 3 8,3% 33 91,7% 36 100,0% – – 5 100,0% 5 100,0% 1 1,2% 84 98,8% 85 100,0% 4 3,2% 122 96,8% 126 100,0%
2 2 40,0% 3 60,0% 5 100,0% – – 1 100,0% 1 100,0% – – – – – – 2 33,3% 4 66,7% 6 100,0%
3 14 11,9% 104 88,1% 118 100,0% – – 16 100,0% 16 100,0% 3 2,1% 137 97,9% 140 100,0% 17 6,2% 257 93,8% 274 100,0%
4 24 70,6% 10 29,4% 34 100,0% 1 16,7% 5 83,3% 6 100,0% 2 50,0% 2 50,0% 4 100,0% 27 61,4% 17 38,6% 44 100,0%
5 13 52,0% 12 48,0% 25 100,0% – – 2 100,0% 2 100,0% 2 50,0% 2 50,0% 4 100,0% 15 48,4% 16 51,6% 31 100,0%
6 17 70,8% 7 29,2% 24 100,0% 3 42,9% 4 57,1% 7 100,0% 5 50,0% 5 50,0% 10 100,0% 25 61,0% 16 39,0% 41 100,0%

5.5.4.2 Rating of services received: Q2_1_startup_training_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 44 64,7% 24 35,3% 68 100,0% 4 10,0% 36 90,0% 40 100,0% 2 11,8% 15 88,2% 17 100,0% 50 40,0% 75 60,0% 125 100,0%
2 – – 1 100,0% 1 100,0% – – 3 100,0% 3 100,0% 2 50,0% 2 50,0% 4 100,0% 2 25,0% 6 75,0% 8 100,0%
3 14 53,8% 12 46,2% 26 100,0% 8 19,0% 34 81,0% 42 100,0% 6 16,2% 31 83,8% 37 100,0% 28 26,7% 77 73,3% 105 100,0%
4 78 46,7% 89 53,3% 167 100,0% 17 16,8% 84 83,2% 101 100,0% 10 5,6% 169 94,4% 179 100,0% 105 23,5% 342 76,5% 447 100,0%
5 173 55,3% 140 44,7% 313 100,0% 34 27,9% 88 72,1% 122 100,0% 17 12,8% 116 87,2% 133 100,0% 224 39,4% 344 60,6% 568 100,0%
6 194 57,7% 142 42,3% 336 100,0% 26 23,9% 83 76,1% 109 100,0% 50 34,2% 96 65,8% 146 100,0% 270 45,7% 321 54,3% 591 100,0%

5.5.4.3 Rating of services received: Q2_1_kit_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 2 66,7% 1 33,3% 3 100,0% – – 2 100,0% 2 100,0% 1 100,0% – – 1 100,0% 3 50,0% 3 50,0% 6 100,0%
2 6 66,7% 3 33,3% 9 100,0% – – 1 100,0% 1 100,0% 3 75,0% 1 25,0% 4 100,0% 9 64,3% 5 35,7% 14 100,0%
3 15 71,4% 6 28,6% 21 100,0% 5 26,3% 14 73,7% 19 100,0% 2 18,2% 9 81,8% 11 100,0% 22 43,1% 29 56,9% 51 100,0%
4 66 44,6% 82 55,4% 148 100,0% 8 25,0% 24 75,0% 32 100,0% 1 1,2% 79 98,8% 80 100,0% 75 28,8% 185 71,2% 260 100,0%
5 104 46,0% 122 54,0% 226 100,0% 10 15,6% 54 84,4% 64 100,0% 14 13,1% 93 86,9% 107 100,0% 128 32,2% 269 67,8% 397 100,0%
6 269 62,3% 163 37,7% 432 100,0% 21 25,6% 61 74,4% 82 100,0% 38 33,0% 77 67,0% 115 100,0% 328 52,1% 301 47,9% 629 100,0%

5.5.4.4 Rating of services received: Q2_1_financial_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 – – 2 100,0% 2 100,0% 1 33,3% 2 66,7% 3 100,0% – – 1 100,0% 1 100,0% 1 16,7% 5 83,3% 6 100,0%
2 6 85,7% 1 14,3% 7 100,0% 1 5,9% 16 94,1% 17 100,0% 2 10,5% 17 89,5% 19 100,0% 9 20,9% 34 79,1% 43 100,0%
3 10 43,5% 13 56,5% 23 100,0% 7 15,2% 39 84,8% 46 100,0% 10 21,3% 37 78,7% 47 100,0% 27 23,3% 89 76,7% 116 100,0%
4 44 65,7% 23 34,3% 67 100,0% 11 18,3% 49 81,7% 60 100,0% 13 18,3% 58 81,7% 71 100,0% 68 34,3% 130 65,7% 198 100,0%
5 66 66,7% 33 33,3% 99 100,0% 22 24,2% 69 75,8% 91 100,0% 12 27,3% 32 72,7% 44 100,0% 100 42,7% 134 57,3% 234 100,0%
6 95 64,2% 53 35,8% 148 100,0% 20 23,5% 65 76,5% 85 100,0% 26 41,9% 36 58,1% 62 100,0% 141 47,8% 154 52,2% 295 100,0%

5.5.4.5 Rating of services received: Q2_1_coaching_startup_rate

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
1 27 34,2% 52 65,8% 79 100,0% 9 18,4% 40 81,6% 49 100,0% 14 12,3% 100 87,7% 114 100,0% 50 20,7% 192 79,3% 242 100,0%
2 3 100,0% – – 3 100,0% – – 2 100,0% 2 100,0% – – 1 100,0% 1 100,0% 3 50,0% 3 50,0% 6 100,0%
3 19 14,8% 109 85,2% 128 100,0% 3 13,0% 20 87,0% 23 100,0% 3 2,2% 133 97,8% 136 100,0% 25 8,7% 262 91,3% 287 100,0%
4 49 62,0% 30 38,0% 79 100,0% 5 26,3% 14 73,7% 19 100,0% 8 38,1% 13 61,9% 21 100,0% 62 52,1% 57 47,9% 119 100,0%
5 64 58,2% 46 41,8% 110 100,0% 10 27,0% 27 73,0% 37 100,0% 11 55,0% 9 45,0% 20 100,0% 85 50,9% 82 49,1% 167 100,0%
6 58 63,0% 34 37,0% 92 100,0% 10 40,0% 15 60,0% 25 100,0% 21 63,6% 12 36,4% 33 100,0% 89 59,3% 61 40,7% 150 100,0%

5.5.5 Business still operating: Duration that the start-up has been operating

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Less than 3 months 18 46,2% 21 53,8% 39 100,0% 4 18,2% 18 81,8% 22 100,0% 1 5,6% 17 94,4% 18 100,0% 23 29,1% 56 70,9% 79 100,0%
Between 3 and 6 months 50 37,9% 82 62,1% 132 100,0% 11 20,8% 42 79,2% 53 100,0% 8 5,9% 128 94,1% 136 100,0% 69 21,5% 252 78,5% 321 100,0%
More than 6 months 455 58,3% 325 41,7% 780 100,0% 76 21,1% 284 78,9% 360 100,0% 85 22,4% 295 77,6% 380 100,0% 616 40,5% 904 59,5% 1520 100,0%

5.5.6 Business still operating: Number of employees of start-ups that are still operating

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Selfemployed without employees 409 60,9% 263 39,1% 672 100,0% 58 21,6% 210 78,4% 268 100,0% 66 20,0% 264 80,0% 330 100,0% 533 42,0% 737 58,0% 1270 100,0%
1 - 9 people 112 41,2% 160 58,8% 272 100,0% 33 20,0% 132 80,0% 165 100,0% 26 13,1% 172 86,9% 198 100,0% 171 26,9% 464 73,1% 635 100,0%
10 - 19 people – – 3 100,0% 3 100,0% – – 2 100,0% 2 100,0% 2 66,7% 1 33,3% 3 100,0% 2 25,0% 6 75,0% 8 100,0%
20 - 49 people – – 2 100,0% 2 100,0% – – – – – – – – 3 100,0% 3 100,0% – – 5 100,0% 5 100,0%
50 people or more 2 100,0% – – 2 100,0% – – – – – – – – – – – – 2 100,0% – – 2 100,0%

5.5.7 Business still operating: Income high enough to generate a living

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
No 225 60,3% 148 39,7% 373 100,0% 32 19,5% 132 80,5% 164 100,0% 46 32,9% 94 67,1% 140 100,0% 303 44,8% 374 55,2% 677 100,0%
Uncertain 30 50,8% 29 49,2% 59 100,0% 9 36,0% 16 64,0% 25 100,0% 4 40,0% 6 60,0% 10 100,0% 43 45,7% 51 54,3% 94 100,0%
Yes 268 51,6% 251 48,4% 519 100,0% 50 20,3% 196 79,7% 246 100,0% 44 11,5% 340 88,5% 384 100,0% 362 31,5% 787 68,5% 1149 100,0%

5.5.7.1 Test of Statistical Significance

## [1] "Migration Status"
## 
##    Cell Contents
## |-------------------------|
## |                   Count |
## | Chi-square contribution |
## |             Row Percent |
## |          Column Percent |
## |           Total Percent |
## |-------------------------|
## 
## Total Observations in Table:  1920 
## 
##                               | data$Q2_7 
##                data$Migration |        0  |        1  |        2  | Row Total | 
## ------------------------------|-----------|-----------|-----------|-----------|
##              Local Population |      373  |      519  |       59  |      951  | 
##                               |    4.233  |    4.413  |    3.324  |           | 
##                               |   39.222% |   54.574% |    6.204% |   49.531% | 
##                               |   55.096% |   45.170% |   62.766% |           | 
##                               |   19.427% |   27.031% |    3.073% |           | 
## ------------------------------|-----------|-----------|-----------|-----------|
##             Migrants from GER |      164  |      246  |       25  |      435  | 
##                               |    0.735  |    0.788  |    0.644  |           | 
##                               |   37.701% |   56.552% |    5.747% |   22.656% | 
##                               |   24.225% |   21.410% |   26.596% |           | 
##                               |    8.542% |   12.812% |    1.302% |           | 
## ------------------------------|-----------|-----------|-----------|-----------|
## Migrants from third countries |      140  |      384  |       10  |      534  | 
##                               |   12.385  |   12.992  |    9.969  |           | 
##                               |   26.217% |   71.910% |    1.873% |   27.812% | 
##                               |   20.679% |   33.420% |   10.638% |           | 
##                               |    7.292% |   20.000% |    0.521% |           | 
## ------------------------------|-----------|-----------|-----------|-----------|
##                  Column Total |      677  |     1149  |       94  |     1920  | 
##                               |   35.260% |   59.844% |    4.896% |           | 
## ------------------------------|-----------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  49.48189     d.f. =  4     p =  4.632007e-10 
## 
## 
##  
##        Minimum expected frequency: 21.29688 
## 
## NULL
## [1] "Gender"
## 
##    Cell Contents
## |-------------------------|
## |                   Count |
## | Chi-square contribution |
## |             Row Percent |
## |          Column Percent |
## |           Total Percent |
## |-------------------------|
## 
## Total Observations in Table:  1920 
## 
##              | data$Q2_7 
##  data$Gender |        0  |        1  |        2  | Row Total | 
## -------------|-----------|-----------|-----------|-----------|
##       Female |      303  |      362  |       43  |      708  | 
##              |   11.404  |    8.983  |    2.005  |           | 
##              |   42.797% |   51.130% |    6.073% |   36.875% | 
##              |   44.756% |   31.506% |   45.745% |           | 
##              |   15.781% |   18.854% |    2.240% |           | 
## -------------|-----------|-----------|-----------|-----------|
##         Male |      374  |      787  |       51  |     1212  | 
##              |    6.662  |    5.248  |    1.172  |           | 
##              |   30.858% |   64.934% |    4.208% |   63.125% | 
##              |   55.244% |   68.494% |   54.255% |           | 
##              |   19.479% |   40.990% |    2.656% |           | 
## -------------|-----------|-----------|-----------|-----------|
## Column Total |      677  |     1149  |       94  |     1920  | 
##              |   35.260% |   59.844% |    4.896% |           | 
## -------------|-----------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  35.47317     d.f. =  2     p =  1.981974e-08 
## 
## 
##  
##        Minimum expected frequency: 34.6625 
## 
## NULL

5.5.8 Business still operating: Sectors in which start-up was created

Local Population
Migrants from GER
Migrants from third countries
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
Female
Male
Total
n % n % n % n % n % n % n % n % n % n % n % n %
Agriculture, forestry and fisheries 19 26,4% 53 73,6% 72 100,0% 14 26,4% 39 73,6% 53 100,0% 5 15,6% 27 84,4% 32 100,0% 38 24,2% 119 75,8% 157 100,0%
Construction 2 11,1% 16 88,9% 18 100,0% 1 2,9% 33 97,1% 34 100,0% – – 11 100,0% 11 100,0% 3 4,8% 60 95,2% 63 100,0%
Education and Healthcare (public and private), Social Welfar 3 37,5% 5 62,5% 8 100,0% 1 50,0% 1 50,0% 2 100,0% 1 33,3% 2 66,7% 3 100,0% 5 38,5% 8 61,5% 13 100,0%
Manufacturing or extraction (i.e. mining) 15 68,2% 7 31,8% 22 100,0% – – 18 100,0% 18 100,0% 9 50,0% 9 50,0% 18 100,0% 24 41,4% 34 58,6% 58 100,0%
Other 212 71,4% 85 28,6% 297 100,0% 34 32,7% 70 67,3% 104 100,0% 13 28,3% 33 71,7% 46 100,0% 259 57,9% 188 42,1% 447 100,0%
Public sector (including public utilities) 3 60,0% 2 40,0% 5 100,0% 1 6,2% 15 93,8% 16 100,0% 1 11,1% 8 88,9% 9 100,0% 5 16,7% 25 83,3% 30 100,0%
Sales (including vehicle repair) 55 72,4% 21 27,6% 76 100,0% 17 15,0% 96 85,0% 113 100,0% 12 9,4% 115 90,6% 127 100,0% 84 26,6% 232 73,4% 316 100,0%
Service sector (including privatized utilities) 214 47,2% 239 52,8% 453 100,0% 23 24,2% 72 75,8% 95 100,0% 53 18,4% 235 81,6% 288 100,0% 290 34,7% 546 65,3% 836 100,0%

5.6 Reasons why establishment of business was not successful

Migration Gender Q2_3 n
Local Population Female Financial constrains 48
Local Population Female Materials constrains 8
Local Population Female None 5
Local Population Female nema potrebe 3
Local Population Female not enough resources 3
Local Population Female nuk kam pasur mundesi 2
Local Population Female zaposlila sam se 2
Local Population Female لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف 2
Local Population Female Because of metrials and financials 1
Local Population Female Biznesi ishte aktiv,por pajisjet ishin nje ndihmese e madhe. 1
Local Population Female DO SHUME TE ARDHURA 1
Local Population Female Doesn’t have a business center yet. Works on and off from home. 1
Local Population Female Financial setbacks 1
Local Population Female I already had a business 1
Local Population Female I already had a functioning business before joining the trainings but then afterwards i decided to expand the business 1
Local Population Female I already had a running business 1
Local Population Female I already had an existing business before recieving the support 1
Local Population Female I already had my bussiness running 1
Local Population Female I already has an existing business that I wanted to expand 1
Local Population Female I am a teacher and that training was related to cv writing so I was helped to enhance my skills. 1
Local Population Female I am already running my school 1
Local Population Female I am perfecting my skills under someone 1
Local Population Female I am teaching already. 1
Local Population Female I am teaching. and those ideas which I learn from training apply in my employment. 1
Local Population Female I don’t have an oven to start. I use my friends own when I get an order 1
Local Population Female I don’t have enough resources. and what was given was not enough 1
Local Population Female I had started already 1
Local Population Female I need to polish up on the skill 1
Local Population Female I was already doing it before the training 1
Local Population Female I was already doing working before the training 1
Local Population Female I was already in one so I had to improve upon it with the skill I learnt and the it provided. 1
Local Population Female I was already in the business but received a boost 1
Local Population Female I was given only an oven without a cylinder and I haven’t been able to buy one yet. the oven cannot be used without a cylinder 1
Local Population Female Jos pohadjam obuku 1
Local Population Female Ka fituar laptop edhe me shume ka ofru sherbime si konsulente dhe gjate kesaj periudhe nuk ka pase projekte shume dhe per kete arsye nuk ka pase mundesi me themelu biznesin. 1
Local Population Female Ka qene ekzistent para se me i marre pajisjet, mirepo me ka ndihmu 1
Local Population Female MUNDESITE E PAKTA 1
Local Population Female Mungesa e financimit 1
Local Population Female NEMA potrebe zadovoljna sam sadasnjim poslom 1
Local Population Female NUK E KAM MENDUSAR 1
Local Population Female NUK KAM DASHUR,JAM E FOKUSUAR TEK PUNA 1
Local Population Female NUK KAM FILLUAR AKOMA 1
Local Population Female Nuk kam patur qellim themelimin e nje biznesi 1
Local Population Female She was already into the business 1
Local Population Female She was already into the sale of used clothes business 1
Local Population Female She was already into the sowing business but the support helped improve her business 1
Local Population Female She was already working, the startup helped enhance her fashion designing business 1
Local Population Female She was learning from the shop already 1
Local Population Female Still learning 1
Local Population Female Still on intership 1
Local Population Female Themelimi i biznesit kerkon kushte te shumta te cilat nuk i ploteson me vetem nje pajisje,por, me ka ndihmuar per nevoja personale. 1
Local Population Female Travelling to the UK to stay with her husband 1
Local Population Female Waiting to complete my shop 1
Local Population Female Working under someone. 1
Local Population Female already had a business 1
Local Population Female already had a running business 1
Local Population Female am emloyed 1
Local Population Female am learning sewing to add to the makeup 1
Local Population Female arsye shendetesore 1
Local Population Female because she has not receive a start up kit 1
Local Population Female bisnesi ka ekzistu me pare 1
Local Population Female biznesi eshte aktiv me vite 1
Local Population Female business was already in existence before I received the support 1
Local Population Female business was already in. existence before I reviewed the support 1
Local Population Female business was in existence before I received the support from you 1
Local Population Female busy is slow had to start something else 1
Local Population Female doing Job 1
Local Population Female duration for training wasn’t enough for a beginner like me. I need more training to be able to practice. 1
Local Population Female even though I have equipment’s to work by but i also need a place to start the work 1
Local Population Female family responsibilities 1
Local Population Female family strictness 1
Local Population Female financial support 1
Local Population Female haven’t had professional training yet. I received only the starter pack. they said provision was not made for my tuition fee 1
Local Population Female i already my business 1
Local Population Female i dont have enough cash 1
Local Population Female i need money to startup 1
Local Population Female imam u planu to kasnije 1
Local Population Female jo sepse nuk kam mundesi 1
Local Population Female just completed my training 1
Local Population Female ka operu me heret 1
Local Population Female ka qene ekzitues biznesi 1
Local Population Female kam fillu biznes mirepo nuk eshte si rezultat i perfitimit nga PME-ja 1
Local Population Female l am still practicing with personal events to sharpen my skills 1
Local Population Female lack business ideas 1
Local Population Female lack of market 1
Local Population Female lack of facilities 1
Local Population Female looking for a place to start 1
Local Population Female my business was already in existence before the giz training 1
Local Population Female my business was already jn existence 1
Local Population Female ne znam 1
Local Population Female nije mi to bila primarna ideja jer sam samohrana majka vec 3 godine, htela sam samo da nadjem nacin da radim 1
Local Population Female nisam bila spremna da pokrenem jer mislim da mi treba Jos obuke oko salona za masazu, fali mi iskustva I neko iskusan da me obuci.tako da Sam se zaposlila na pumpi jer mi je to siguran izvor prihoda I redovna plata 1
Local Population Female nisam ja za predizetnika 1
Local Population Female nisam jos zvanicno pokrenula al imam u planu 1
Local Population Female not too perfect at it moreover, items in kit were incomplete 1
Local Population Female nuk e ka pare te arsyeshme 1
Local Population Female nuk e kam marre hapin per krijimin e biznesit 1
Local Population Female nuk e kam marre persiper hapjen e nje biznesi 1
Local Population Female nuk e kam menduar te hap biznes 1
Local Population Female nuk kam gjetur staf te kualifikuar 1
Local Population Female nuk kam kohen e mjaftueshme,dhe te ardhurat 1
Local Population Female nuk kam pasur deshire 1
Local Population Female nuk kam pasur mundesi ekonomike 1
Local Population Female nuk kam pasur te ardhura 1
Local Population Female nuk kam patur idene e krijimit te nje biznesi. me pelqen puna qe bej 1
Local Population Female nuk kam patur ndermend te themeloj nje biznes 1
Local Population Female nuk kam tentuar 1
Local Population Female nuk kane pas mundesi 1
Local Population Female nuk kane qene te gjitha pajisjet 1
Local Population Female nuk kisha si qellim hapjen e nje biznesi 1
Local Population Female nuk kisha te ardhura per te filluar biznes 1
Local Population Female nuk me eshte dashur te hap nje biznes 1
Local Population Female people hardly assess the service since some learn the skill for free online to help themselves. I only use it once in a while for people. 1
Local Population Female samo mi je trebao sertifikat 1
Local Population Female sepse biznesi ka funksionu edhe me heret 1
Local Population Female she is still working under someone 1
Local Population Female she just receive a start up kits these pass night 1
Local Population Female she was already into fashion design business, the support helped improve her work 1
Local Population Female she was already into the cold store business, so the items she received helped boost her business. 1
Local Population Female start online teaching due to exposure gained from the training. 1
Local Population Female still learning from a mentor 1
Local Population Female still learning to acquire more skills 1
Local Population Female still learning to improve on skills and working to acquire advance accessories 1
Local Population Female still sharpening my skills 1
Local Population Female still working where i learnt to gather enough money to open mine 1
Local Population Female the grant was used to partner with her employer. 1
Local Population Female the respondent was not give any financial support or in kind support to start a business. she only attend SMD empolyability training. 1
Local Population Female the respondent was unable to have a business idea. 1
Local Population Female the support is been used to improve upon my already existing business 1
Local Population Female to get an advance gadget that will take quality pictures. 1
Local Population Female vec imamo firmu 1
Local Population Female vec sam imala svoju firmu 1
Local Population Female vec sam imala svoju firmu koju sam zatvorila 1
Local Population Female was already in the business 1
Local Population Female working for a pvt company 1
Local Population Female working in a pvt company 1
Local Population Female working under someone 1
Local Population Female zadovoljna sam poslom koji imam 1
Local Population Female zadovoljni smo poslom koji imamo 1
Local Population Female zaoislila sam se i odustala od svih planova koje sam imala kada sam bila u kontaktu sa tamarom 1
Local Population Female zaposlila sam se , a cilj je bio da odem u inostranstvo da radim pa nisam uspela 1
Local Population Female zaposlila sam se kod poslodavca,ali opremu koju sam dobila plakšala mi je pronalazak posla i na poslu radim sa svojim fotoapratom kao novinar 1
Local Population Female zaposlila sam se u drugoj firmi i radim drugi posao iz zdravstvenih razloga 1
Local Population Female zaposlila sam se u kurirskoj službi 1
Local Population Female zato sto sam vec radila, bila mi je bitna licenca 1
Local Population Male Financial constrains 46
Local Population Male not enough resources 12
Local Population Male لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف 11
Local Population Male Materials constrains 8
Local Population Male None 6
Local Population Male I am still learning 2
Local Population Male ANA EKONIMIKE JO E MJAFTUESHME 1
Local Population Male Already teaching 1
Local Population Male Because he was in the driving industry already 1
Local Population Male Biznezi ka qene ekzistues, ka marre vetem mbeshtetje financiare per rritje te biznesit 1
Local Population Male Does car tracking on a part-time basis. 1
Local Population Male Duhet pervoje ma e madhe per me hap biznesin. 1
Local Population Male ESHTE E VESHTIRE TE HAPESH BIZNES 1
Local Population Male He had already started his business before the training, he continued with it afterwards . 1
Local Population Male He had already started the farming business before the financial help was received a year after his training. 1
Local Population Male He was already into the Tilling business so he continued 1
Local Population Male He was already into the business 1
Local Population Male He was already into the electrical business 1
Local Population Male He was in graphics business already. 1
Local Population Male I DONT HAVE ENOUGH RESOUCES TO SET UP A PLACE FOR MYSELF 1
Local Population Male I already had a business before joining the training 1
Local Population Male I already had an existing business before the training 1
Local Population Male I did not get the support to start my own business 1
Local Population Male I don’t have a sponsor 1
Local Population Male I don’t have the financial support and equipments to start my own business 1
Local Population Male I dont have money to start my own business 1
Local Population Male I have registered it but i want to finish the course first 1
Local Population Male I still dont have money and equipment to start business 1
Local Population Male I want to do my diploma first before i start my own team. 1
Local Population Male I was already in the business before the training 1
Local Population Male I was already operating the business 1
Local Population Male I was already working with someone as an apprentice before coming to the institution 1
Local Population Male I work on contracts 1
Local Population Male I’m using the skill to support my work and I’m also perfecting in the skill through that. 1
Local Population Male Jam duke e menduar 1
Local Population Male Jam duke tentuar per hapjen e nje biznesi 1
Local Population Male KAM BISNES,POR E KAM THEMELUAR SHUME KOHE MNE PARA 1
Local Population Male Mjete jo te mjaftueshme 1
Local Population Male NUK KAM PAS INTERES 1
Local Population Male No money to start business 1
Local Population Male Nuk kam pasur deshire te filloje biznes 1
Local Population Male Nuk kam tentuar te hap biznes 1
Local Population Male PAMUNDESI EKONOMIKE 1
Local Population Male PER ARSYE MONETARE 1
Local Population Male PUNOJ NE NJE KOMPANI 1
Local Population Male Punoj ne nje pune tjeter ,por pajisjen e shfrytezoj vetem per sherbime personale. 1
Local Population Male SKA ARSYE 1
Local Population Male Sub Inspector Punjab Police 1
Local Population Male The respondent already had a business since 2016 1
Local Population Male The respondent already has a business since 2018. He did not start it as a result of support from GIZ 1
Local Population Male The respondent got support from a relative. It was not a support from any organization 1
Local Population Male We don’t have the financial support 1
Local Population Male all the animals died 1
Local Population Male already had a running business 1
Local Population Male because the toolkit which I received that was damaged. it was useless. 1
Local Population Male beceause i do not have the start money 1
Local Population Male biznesi ishte aktiv me pare 1
Local Population Male biznesi ka ekzistuar edhe me pare 1
Local Population Male didn’t receive all the start up. so I could start 1
Local Population Male domestic challenges 1
Local Population Male financial support 1
Local Population Male he did not receive no support to start a business 1
Local Population Male he dont support from them 1
Local Population Male i already had my business running 1
Local Population Male i already started my business before the support came through. 1
Local Population Male i am still doing intern with a company 1
Local Population Male i am still going to school 1
Local Population Male i wanted to gain experience and also gather enough money to start up my own 1
Local Population Male incomplete toolkit 1
Local Population Male izgubio sam telefon i vise nisam mogao da stupim u kontakt sa vasom organizacijom ni na jednu temu 1
Local Population Male jam mire keshtu nuk kam deshire per biznes sepse nuk ka puna 1
Local Population Male jos sam mlad da bih imao svoju firmu 1
Local Population Male ka ne plan 1
Local Population Male koha , jam student 1
Local Population Male mos pasja e nje vlere monetare 1
Local Population Male most of the animals all died on arrival 1
Local Population Male mundesia ekonomike e papershtatshe 1
Local Population Male nemam alat i masine da bih poceo samostalno 1
Local Population Male nemam dovoljno para da se upustim u to 1
Local Population Male nemam sretstava za tako nesto 1
Local Population Male nije mi to bio cilj nikada 1
Local Population Male nije mi to bio cilj savetovanja nego smanjenje potrosene energije za grejanje 1
Local Population Male nisam dovrsio obuku zbog bolesti 1
Local Population Male nisam imao ovu meru. 1
Local Population Male nisam ni hteo to, hteo sam da mi pomognu da nabavim drva il da ostvarim neku pomoc kao borac prvog stepena 1
Local Population Male nisam to imao u planu 1
Local Population Male nisam to ni zelelo, htei sam da imam adekvatne sertifikate za rad 1
Local Population Male nisam to nikada zeleo 1
Local Population Male nisam zdravstveno sposoban 1
Local Population Male nismo dobili instrumente za rad 1
Local Population Male no he dont receive any support 1
Local Population Male no support was received 1
Local Population Male not any specific reason, using that toolkit in my job 1
Local Population Male nuk e kam pasur mundesine 1
Local Population Male nuk i kane mjaftu paisjet per me hap biznesin 1
Local Population Male nuk ka pas deshire me hap biznes 1
Local Population Male nuk ka pas mundesi 1
Local Population Male nuk ka qene e mundur 1
Local Population Male nuk kam nisur nje biznes 1
Local Population Male nuk kam mendim 1
Local Population Male nuk kam menduar te krijoj nje biznes timin 1
Local Population Male nuk kam pasur te ardhura 1
Local Population Male other reasons 1
Local Population Male part time job along with small contracts in Rawalpindi 1
Local Population Male per arsye personale eshte ne biznesin e babait 1
Local Population Male personal reasons 1
Local Population Male posle obuke sam se odmah zaposlio 1
Local Population Male procenio sad da jos nije vreme za to i da treba mnogo novca i mimo pomoci koju ne znam ni da li bih dobio 1
Local Population Male radim u jednoj firmi 1
Local Population Male situata ekonomike 1
Local Population Male still looking forward to starting one 1
Local Population Male the business was already in existence before giz support 1
Local Population Male the place I want to use for the startup is under construction 1
Local Population Male the respondent is financially constraint 1
Local Population Male the training found him on the business 1
Local Population Male to tek imam u planu 1
Local Population Male trenutno radim nesto gde mi znace sertifikat i obuka i ako ne vozim 1
Local Population Male was in the industry already 1
Local Population Male will start soon 1
Local Population Male work with a company as a result of skill llearnt 1
Local Population Male working as a driver with Political leader 1
Local Population Male working for different contractors on daily wages 1
Local Population Male working on contractual basis 1
Local Population Male works as a mechanic alone in his village. The shop was established by grandparents. 1
Local Population Male zapolio sam se u dobro firmi 1
Local Population Male zaposlio sa se u firmi gde sam dugo cekao sansu 1
Local Population Male zaposlio sam se kao vozac u apatinskoj pivari 1
Local Population Male zaposlio sam se odlicnoj firmi 1
Local Population Male zaposlio sam se u firmi za medjunarodni transport 1
Local Population Male zaposlio sam se u jenoj firmi 1
Local Population Male zaposlio sam se u mup-u 1
Local Population Male zaposlio sam se u odlicnoj firmi 1
Local Population Male zato sto sam se zaposlio u medjuvremenu i povremeno radim vise poslova 1
Migrants from GER Female لانه لم يتلقى دعم انشاء مشروع،  ولكنه تلقى دعم توظيف 7
Migrants from GER Female Financial constrains 2
Migrants from GER Female None 2
Migrants from GER Female Biznesi ka qene funksional me heret 1
Migrants from GER Female DOJA DICKA IDISTRUALE , JO PROFESIONALE, JANE PER PERDORIM NE AMBJENTE SHTEPIE 1
Migrants from GER Female JAM SHTATZANE DHE NUK KAM PLAN BIZNESI 1
Migrants from GER Female MUNDESITE EKONOMIKE 1
Migrants from GER Female Me nevojiten edhe pajisje te tjera pasi qe nuk jane te mjaftueshme ato qe kam marre. 1
Migrants from GER Female NUK KEMI LEKE 1
Migrants from GER Female NUK KEMI TE ARDHURA,NUK E HAPIM DOT ME BORXHE DHE NUK KEMI ARSIMIN E DUHUR 1
Migrants from GER Female Nuk e di 1
Migrants from GER Female PAMUNDESI EKONOMIKE 1
Migrants from GER Female Svoj posao privatni smo već imali, odnosno firmu. 1
Migrants from GER Female e kam pasur biznesin para se te vija te Arsis 1
Migrants from GER Female e kisha e biznesin 1
Migrants from GER Female nemam dovoljno obrazovanja da bih smela da se upustim u to 1
Migrants from GER Female nije me vise niko zvao posle tog razgovora 1
Migrants from GER Female nije mi to bio cilj 1
Migrants from GER Female nisam ni imala to u planu 1
Migrants from GER Female nisam se ni prijavila za start ap 1
Migrants from GER Female nismo ni imali potrebe za time, hteli smo medicinsku i finansijsku pomoc za izlecenje deteta 1
Migrants from GER Female nismo ni trazili to, samo da imam neki posao 1
Migrants from GER Female nuk kam filluar ndonjehere biznes 1
Migrants from GER Female nuk e ka pas sukses ne punen e rrobaqepesise 1
Migrants from GER Female nuk e kam menduar 1
Migrants from GER Female nuk eshte provuar fare 1
Migrants from GER Female nuk jane te mjaftueshme 1
Migrants from GER Female nuk kam krijuar 1
Migrants from GER Female nuk kam pasur te ardhura 1
Migrants from GER Female nuk pata siguri ne hapjen e nje biznesi 1
Migrants from GER Female skam pasur mundesi 1
Migrants from GER Female te ardhuarat e pamjaftueshme 1
Migrants from GER Female to nije billa pocija, samo sam hteo da radim 1
Migrants from GER Female to nismo ni zeleli, hteli smo materijal da kuca u kojoj zivimo bude funkcionalna za stanovanje 1
Migrants from GER Female zaposlena sam vec a zelela sam da se dodatno edukujem jer imam supruga invalida 1
Migrants from GER Female zaposlila sam se kod poslodavca u prodavnici 1
Migrants from GER Female أعطيت زوجي حصتي من الدعم بهدف بناء مشروع خاص به يكون هو المسؤول الوحيد عنه 1
Migrants from GER Female بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع 1
Migrants from GER Female حيث انني لم اتلقى دعم لإنشاء مشروع الدعم الذي تلقيته كان فقط دعم مالي لرسوم فصل دراسي 1
Migrants from GER Female لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف 1
Migrants from GER Female لان الدعم الذي استلمته دعم وظيفي 1
Migrants from GER Female لان الدعم الذي حصلت عليه دعم وظيفي 1
Migrants from GER Female لم يكن لدي المبلغ الكافي لعمل مشروع 1
Migrants from GER Female لم يكن هنالك مبلغ كافي من المال لتأسيس مشروع تجاري 1
Migrants from GER Male لانه لم يتلقى دعم انشاء مشروع،  ولكنه تلقى دعم توظيف 9
Migrants from GER Male لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف 8
Migrants from GER Male Financial constrains 6
Migrants from GER Male لان الدعم الذي حصلت عليه هو دعم وظيفي 5
Migrants from GER Male بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع 4
Migrants from GER Male المستجيب هو أحد مستفيدي الدعم الوظيفي 3
Migrants from GER Male ana monetare 2
Migrants from GER Male المستجيب هو احد مستفيدي الدعم الوظيفي 2
Migrants from GER Male بسبب قد تلقيت دعم وظيفي وليس بدء مشروع او توسيع مشروع 2
Migrants from GER Male لان الدعم الذي حصلت عليه دعم وظيفي 2
Migrants from GER Male لانه لم يتلقى دعم انشاء مشروع، ولكنه تلقى دعم توظيف 2
Migrants from GER Male لم يتم تجهيز المواد بالكامل 2
Migrants from GER Male Arsyet kane qene te ndryshme mjetet qe i kam kerkuar per hapjen e lokalin tim nuk kane ardhur kane ardhur mjete ne vlere as 100 euro me te cilat nuk mund te nisesh as edhe nje hap drej hapjes se biznesit. 1
Migrants from GER Male Ma kane ofru vetem nje kultivator 1
Migrants from GER Male Materials constrains 1
Migrants from GER Male Me nevojiten mjete shtese 1
Migrants from GER Male NUK KA TREG PUNE ATY KU JETOJ PER TE HAPUR NJE BIZNES 1
Migrants from GER Male NUK KAM PAISJE 1
Migrants from GER Male NUK KAM PASUR PARA MJAFTUESHEM 1
Migrants from GER Male Nisam dobio alat koji sam tražio, a i za pokretanje sopstvenog posla nisam zainteresovan, jer je to velika obaveza otvoriti i imati firmu. 1
Migrants from GER Male Not specific reason 1
Migrants from GER Male Nuk i ka pajisjet te gjitha 1
Migrants from GER Male Nuk kam pas mundesi te fuqizoj fuqin punetore 1
Migrants from GER Male Nuk kane qene mjetet e dhena as per te filluar hapat e pare 1
Migrants from GER Male Paisje jo mjaftueshem per te filluar nje biznes 1
Migrants from GER Male Per arsye qe ka qene pandemia dhe ka stagnu punen prej dy vitesh, poashtu mjetet qe i jane dhuru nuk kane qene ne perputhje me profesionin e tij sepse ka kerku pajisje per bujqesi, dhe per shkaqe te disa problemeve shendetesore. 1
Migrants from GER Male Per shkak se kam filluar te punoj ne nje pune tjeter dhe nuk kane qene mjetet e mjaftueshme per startimin e biznesit 1
Migrants from GER Male SKA MJETE TE MJAFTUESHME 1
Migrants from GER Male SKA PAISJE MJAFTUESHEM QE TE NISET BIZNESI 1
Migrants from GER Male Shume arsye (respodenti refuzon te cek cilat) 1
Migrants from GER Male Stand by: manque du matériel 1
Migrants from GER Male The individual is an engineer. doing private job 1
Migrants from GER Male Zbog nedostatka drugog alata, nije mi bilo to dovoljno, a nisam imao para da dokupim još. 1
Migrants from GER Male biznesi ka ekzistu edhe me heret 1
Migrants from GER Male business was already in existence 1
Migrants from GER Male cekao sam posao ugradskoj cistoci al sam se posle zaposlio u gradskom prevozu tako da vec sam radio a nemam ni para za preduzetnistvo 1
Migrants from GER Male e kam pasur biznesin para perfimit te masave 1
Migrants from GER Male en cours de lancement, attente de la réception de la subvention 1
Migrants from GER Male idem kod brata u nemacku na 90 dana i pokusavam tamo da nadjem neki posao a ovde radim sta stignem 1
Migrants from GER Male jednom su me odbili a onda sam ja shvatio kao to da nemam srece ili vezu ko to da mi pogura tako da san htei da konkurisem pa sam odustajao 1
Migrants from GER Male jer nikad nisam dobio nikakvu pomoc, nemam sa cime da otorim firmu 1
Migrants from GER Male ka qene i themeluar 1
Migrants from GER Male kam vazhduar bixnesin e familjes 1
Migrants from GER Male mundesia ekonomike e pamjaftueshme 1
Migrants from GER Male mungesa e fuqise punetore 1
Migrants from GER Male našao sam posao kod poslodavca ,radim kao korisnička podrška za nemački jezik 1
Migrants from GER Male nije mi to bio cilj 1
Migrants from GER Male nisam dobio novac podrske za kupovinu opreme bez koje ne mogu da radim 1
Migrants from GER Male nisam dobio podršku još uvek ,bili su rekli da će da mi obezbede frezu ,ali je nisam dobio,dobio sam građevinski materijal za sređivamje kuće 1
Migrants from GER Male nisam se prijavao z start ap posao već sam se zaposlio kod drugog poslodavca 1
Migrants from GER Male nuk e di 1
Migrants from GER Male nuk ka pas mjaftueshem per me hap biznes 1
Migrants from GER Male nuk ka pas paisje te mjaftueshme per me hap biznes 1
Migrants from GER Male nuk ka pase mundesi 1
Migrants from GER Male nuk kam dashur te hap biznis 1
Migrants from GER Male nuk kam pas sukses sepse punoj pune tjeter 1
Migrants from GER Male nuk kam pas te ardhura 1
Migrants from GER Male nuk kam pase mundesi 1
Migrants from GER Male nuk kam pasur mbeshtetje dhe te ardhura financiare te krijoje nje biznes 1
Migrants from GER Male nuk kam pasur mundesi te krijoje 1
Migrants from GER Male nuk kam pasur te ardhura te mjaftueshme 1
Migrants from GER Male nuk kan mjaftu qato paisje qe me ehap biznesin 1
Migrants from GER Male nuk kishte baze mbeshtetje 1
Migrants from GER Male otisao sam iz svog mesta da radim sezonski posao 1
Migrants from GER Male pomogli su mi u međuvremenu da se zaposlim u rudnik 1
Migrants from GER Male radim samostalno trenutno ili sezonske poslove, nemam sredstva da pokrenem firmu 1
Migrants from GER Male se skemi pas mjete te mjaftueshme 1
Migrants from GER Male shkaku qe pajisja nuk eshte e mjaftueshme 1
Migrants from GER Male ska pas paisje te mjaftueshme per me hap biznesin 1
Migrants from GER Male skem pas profit 1
Migrants from GER Male spremam se da se trajno preselim u nemacku 1
Migrants from GER Male stali su sa pomaganjem pa ja nemam jos sredstava da pokrenem sam nesto 1
Migrants from GER Male they gave me 15 blankets which were 3rd class in quality so I can’t start any business from them. 1
Migrants from GER Male they gave me uncompleted machines for the manufacturing of gloves that was useless. 1
Migrants from GER Male vec sam zaposlen a bio sam i pre toga 1
Migrants from GER Male već sam u međuvremenu našao sam posao 1
Migrants from GER Male zaposlio sa se u firmi 1
Migrants from GER Male zaposlio sam se 1
Migrants from GER Male zaposlio sam se i poceo master rad na fakultetu 1
Migrants from GER Male zaposlio sam se sam u medjuvremenu 1
Migrants from GER Male zaposlio sam se u javnom sektoru 1
Migrants from GER Male zaposlio sam se u rudnik 1
Migrants from GER Male zato sto me niko vise nije pozvao iz vase organizacije 1
Migrants from GER Male استلمت الدعم المالي ، ولكن سلمته الى اخي بهدف فتح مشروع خاص به يكون هو المسؤول الوحيد عنه ،، فقد كنت أعمل بمجال اخر حينذاك 1
Migrants from GER Male الأجور خلال فتره العقد في العمل غير كافية لعمل مشروع ما 1
Migrants from GER Male الدعم وظيفي 1
Migrants from GER Male بسبب مرض زوجتي فقد استنفذت مال الدعم الذي حصلت عليه في توفير العلاج اللازم لوضعها الصحي المتدهور 1
Migrants from GER Male بسبب نقص المال 1
Migrants from GER Male تلقيت توظيف ولم اتلقى جلسات استشاره كافيه لا تمكن من فتح مشروعي الخاص بعد الاستفادة من الوظيفه 1
Migrants from GER Male توضيف 1
Migrants from GER Male حيث انني لم اتلقى دعم لإنشاء مشروع الدعم الذي تلقيته كان فقط دعم مالي لرسوم فصل دراسي 1
Migrants from GER Male دعم وظيفي 1
Migrants from GER Male صاحب الشركة الأهلية لم يجدد عقدنا 1
Migrants from GER Male صرفت المال في علاج امي 1
Migrants from GER Male كان المبلغ قليل وكان سبب في فشل المشروع التجاري 1
Migrants from GER Male لان الأدوات الإلكترونية التابعة لمنحة توسعة المشاريع و التي تم شرائها لي كانت رديئة جدا وقطعة واحدة فقط وبالتالي لم استطيع فتح المشروع بقطعة واحدة فقط 1
Migrants from GER Male لان الدعم الذي تلقيته دعم وظيفي 1
Migrants from GER Male لاني الدعم الذي استلمته دعم نفسي 1
Migrants from GER Male لم يكن لدي المال الكافي لإنشاء مشروع خاص بي عملي كان عمل مقابل نقد مرتب شهري 1
Migrants from GER Male ليس لدي القدرة 1
Migrants from GER Male ليس لدي مبلغ كافي لإنشاء مشروع عملي كان براتب شهري فقط 1
Migrants from GER Male مبلغ الدعم لم يكن كافيا لفتح مشروع ناجح 1
Migrants from GER Male هو من مستفيدي الدعم الوظيفي 1
Migrants from third countries Female Financial constrains 8
Migrants from third countries Female لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف 2
Migrants from third countries Female لان الدعم الذي استلمته دعم وظيفي 2
Migrants from third countries Female لان الدعم الذي حصلت عليه هو دعم وظيفي 2
Migrants from third countries Female لانه لم يتلقى دعم انشاء مشروع،  ولكنه تلقى دعم توظيف 2
Migrants from third countries Female Doing Job 1
Migrants from third countries Female I didn’t receive the support promised 1
Migrants from third countries Female No support yet 1
Migrants from third countries Female The project required a larger financial support compared to the amount received 1
Migrants from third countries Female The startup kit was too small to start anything 1
Migrants from third countries Female i alredy had a functioning business 1
Migrants from third countries Female i have not receive any financial support to start a business. i have business idea but no support to start. 1
Migrants from third countries Female ja sam uspešno pokrenula posao ,ali iz sopstvenih sredstava a ne od pomoći dimarka 1
Migrants from third countries Female ka ekzistu me heret 1
Migrants from third countries Female lack marking platforms for foreign writers 1
Migrants from third countries Female no monetary support 1
Migrants from third countries Female nuk e di 1
Migrants from third countries Female nuk kam patur te ardhura 1
Migrants from third countries Female radim po pojektima kod raznih poslodavaca 1
Migrants from third countries Female se kam qene e punesuar diku 1
Migrants from third countries Female se nuk ka buxhet te mjaftueshem si dhe makine 1
Migrants from third countries Female the type of training that was given to me was not enough and cannot be used in community in which I stay so I had to enroll somewhere else and learn more 1
Migrants from third countries Female zaposlila sam se kod poslodavca nije mi bila potrebna pomoć za posao 1
Migrants from third countries Female أعطيت المال لزوجي لفتح المشروع 1
Migrants from third countries Female المبلغ لم يكن كافيا 1
Migrants from third countries Female بسبب الديون مما اضطرهم إلى بيع أنابيب الغاز وإعطاء مبلغها للدائنون 1
Migrants from third countries Female بسبب ان زوجها من قام بالعمل بالمنحة 1
Migrants from third countries Female بسبب قد تلقيت دعم وظيفي ( عقد محدد ) وليس توسيع مشروع او بدء مشروع 1
Migrants from third countries Female بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع 1
Migrants from third countries Female سلمت المال لزوجي لدعم مشروعه 1
Migrants from third countries Female كنت أعمل موظفة 1
Migrants from third countries Female ليس لدي القدرة على ذلك الدخل الشهري كان لايكفي لإنشاء مشروع عمل 1
Migrants from third countries Female وهبت الدعم الخاص بي لأولادي لبناء مستقبل لهم 1
Migrants from third countries Male Financial constrains 23
Migrants from third countries Male لانه لم يتلقى دعم انشاء مشروع،  ولكنه تلقى دعم توظيف 21
Migrants from third countries Male not enough resources 14
Migrants from third countries Male لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف 8
Migrants from third countries Male بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع 5
Migrants from third countries Male لا، لاني لم استلم دعم مشروع .. استلمت فقط دعم توظيف 5
Migrants from third countries Male لان الدعم الذي حصلت عليه هو دعم وظيفي 5
Migrants from third countries Male لان الدعم الذي استلمته دعم وظيفي 3
Migrants from third countries Male Materials constrains 2
Migrants from third countries Male None 2
Migrants from third countries Male المستجيب هو أحد مستفيدي الدعم الوظيفي 2
Migrants from third countries Male Already Working as a freelancer before training 1
Migrants from third countries Male EKONOMI JO PERSHTATSHEM PER TE HAPUR BIZNES 1
Migrants from third countries Male I am a machinic by profession but I received a toll kit of mesary. 1
Migrants from third countries Male I am already employed but I didn’t receive any tool kit. 1
Migrants from third countries Male I did my MPhil and I got admission in PHD so I continue my studies. and can’t start any business. 1
Migrants from third countries Male I don’t have support financially from anyone. I only have a wheel barrow. 1
Migrants from third countries Male I don’t have the capacity to take loans or get financial support from other individuals. 1
Migrants from third countries Male I dont have cash 1
Migrants from third countries Male I supported myself to start the business, it was not as a result of organizational support 1
Migrants from third countries Male NUK E PAM PROVUAR 1
Migrants from third countries Male SISTEMI JO I PERSHTEME DREJTESIE 1
Migrants from third countries Male The amount received is not sufficient to start a project 1
Migrants from third countries Male The company gave me one boxing gloves machine and one table but that machine was not completed only the upper body they provided so that I couldn’t start my own business. 1
Migrants from third countries Male The family already has a shop of electronics. works there 1
Migrants from third countries Male already had one ongoing 1
Migrants from third countries Male already has a shop in village 1
Migrants from third countries Male already have an agricultural land 1
Migrants from third countries Male already have my business 1
Migrants from third countries Male already working in uncle’s shop 1
Migrants from third countries Male already working on contracts 1
Migrants from third countries Male because the toolkit which I received wasn’t related to my profession. 1
Migrants from third countries Male domestic problems. 1
Migrants from third countries Male due to an incomplete toolkit. 1
Migrants from third countries Male e kisha biznesin 1
Migrants from third countries Male he have not receive support to start a business , after attending the long term traning. he is financially constraint to start a business. 1
Migrants from third countries Male my start up kit was stolen 1
Migrants from third countries Male niko vise nije nije ni zvao a nije bio samo to u pitanju 1
Migrants from third countries Male no because he dont receive a physical cash to creat a start up 1
Migrants from third countries Male not enough resources, working in the Admin office 1
Migrants from third countries Male nuk e di 1
Migrants from third countries Male nuk i keni pase pajisjet e duhura 1
Migrants from third countries Male nuk ka te ardhura te mjaftueshme ,taksa te larta 1
Migrants from third countries Male nuk kam mundesi financiare 1
Migrants from third countries Male nuk kam patur deshire per te themeluar biznes 1
Migrants from third countries Male other reasons 1
Migrants from third countries Male other responsibilities 1
Migrants from third countries Male rent fee is too high. and not favourable to start his business. 1
Migrants from third countries Male the respondent do not have any financial support to start his business. 1
Migrants from third countries Male want to start Further Studies now 1
Migrants from third countries Male will Start within 2-3 months 1
Migrants from third countries Male working in a Private network company. 1
Migrants from third countries Male working in a housing society 1
Migrants from third countries Male working on contracts in Abbottabad and Murree 1
Migrants from third countries Male zaposlio Sam se u rudniku 1
Migrants from third countries Male اسباب لا تتعلق بدعم برنامج الهجرة من أجل التنمية ، فشل المشروع لأسباب شخصية 1
Migrants from third countries Male الدعم الذي تلقيته دعم نفسي 1
Migrants from third countries Male الدعم وظيفي 1
Migrants from third countries Male المبلغ المستلم من المنظمة غير كافي لإنشاء مشروع خاص بي 1
Migrants from third countries Male المبلغ لم يكن كافيا اطلاقا 1
Migrants from third countries Male المستجاب هو أحد مستفيدي الدعم الوظيفي 1
Migrants from third countries Male المستجيب من مستفيدي الدعم الوضيفي وقد قال الراتب الشهري المخصص الي لا يساعد على انشاء مشروع مستقل لوحدي 1
Migrants from third countries Male بارو دۆخی ئابوری وڵات 1
Migrants from third countries Male بري پارەی وەرگیراو 1
Migrants from third countries Male بسبب الوضع المادي قليل و مسافة الطريق والايجار المحل 1
Migrants from third countries Male بسبب قد تلقيت دعم وظيفي وليس توسيع وبدء المشاريع 1
Migrants from third countries Male بسبب قلة الدعم والمبلغ كان قليلا قمت بشراء أنابيب غاز وبيعها 1
Migrants from third countries Male لأن الدعم الذي حصلت عليه هو دعم وظيفي 1
Migrants from third countries Male لا أملك سيولة نقدية تساعدني على فتح مشروع تجاري عملت بأجر شهري عقد في متجر لبيع مواد التجميل 1
Migrants from third countries Male لا، لاني لم استلم دعم مشروع .فقط دعم توظيف 1
Migrants from third countries Male لان الدعم الذي حصلت عليه دعم وظيفي 1
Migrants from third countries Male لان الدعم الذي حصلت عليه هو دعم نفسي 1
Migrants from third countries Male لان تجهيز الأدوات التي حصلت عليها من الدعم كانت رديئة و قليلة جدا 1
Migrants from third countries Male لم يتم تجهيز المواد بالكامل 1
Migrants from third countries Male لم يكن لدي مبلغ كافي من المال لإنشاء مشروع يحتاج إلى مبلغ عالي لكي يتم عملي كان باجر شهري بسيط لكن حققت منه منفعة 1
Migrants from third countries Male ليس لدي المبلغ الكافي لإنشاء مشروع خاص بي 1
Migrants from third countries Male ليس لدي المبلغ الكافي لعمل مشروع تجاري عملي كان بمرتب شهري يدفع من قبل صاحب المحل والمنظمة 1
Migrants from third countries Male ليس لدي مبلغ كافي من الأجور المستلمة لإنشاء شركة 1
Migrants from third countries Male مبلغ الدعم لم يكن كافيا لإنشاء مشروع ناجح 1